September 2022 - Comp-neuro - lists.cnsorg.org

Neuroimaging Statistics Faculty Opportunities
by Shuo Wang 26 Sep '22

26 Sep '22

Dear Colleagues, We have a neuroimaging statistics faculty position at Washington University in St. Louis: https://facultyopportunities.wustl.edu/Posting/Detail/1010785. Please apply if you are interested. Thank you, Shuo -- Shuo Wang, Ph.D. Assistant Professor Department of Radiology Washington University in St. Louis https://sites.wustl.edu/wanglab/

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Open PhD position at the Goethe University Frankfurt / Germany
by Claudius Gros 26 Sep '22

26 Sep '22

I would like to bring your attention our PhD-program in Computational Neurosciences / Complex Dynamical Systems at the Institute of Theoretical Physics, Goethe University Frankfurt, Germany Field(s): computational neurosciences, complex systems, theory neural networks, simulated robotics, game theory, dynamical systems. Application deadline: October 30, 2022 Contact: Prof. Claudius Gros, cgr[(a)]itp.uni-frankfurt.de We are developing new models and generative principles for complex systems, using a range of toolsets from dynamical systems theory, game theory, and the neurosciences. Examples are self-generated gaits for animals and robotic systems, criticality in autonomous networks, as well as investigations of the 'tragedy of the commons'. Several subjects are available for the announced PhD thesis, depending on the background of the successful candidate. The work will include analytical investigations and numerical simulations. The candidate must have a Diploma/Master in physics, an excellent academic track record and good computational skills. Experience or strong interest in the fields of complex systems, computational neurosciences and dynamical systems theory is expected. The degree of scientific research experience needs to be on the level of a German Diploma/Master The appointment will start late 2022 / early 2023, for up to three years. Interested applicants must submit a curriculum vitae, a list of publications and copies of the academic record. Name, affiliation and email of one or more potential references are to be given. Claudius Gros http://www.itp.uni-frankfurt.de/~gros ------------------------------------- The Johann Wolfgang Goethe University Frankfurt am Main is with over 46,000 students and around 4,600 employees one of the largest universities in Germany. Founded in 1914 by Frankfurt citizens and again in the legal form of a foundation since 2008, the Goethe University has a high level of independence, modernity and professional diversity. As a comprehensive university, the Goethe University Frankfurt offers and has 100 degree programs on five campuses in a total of 16 departments an outstanding research strength. The time limit for academic staff is based on the provisions of the Academic Term Contract Act in conjunction with the Hessian Higher Education Act. The university advocates equal rights for women and men and therefore encourages women to apply. Disabled applicants with equal qualifications will be given preferential consideration. ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### ### Complex and Adaptive Dynamical Systems, A Primer ### A graduate-level textbook, Springer (2008/10/13/15) ### ### Life for barren exoplanets: The Genesis project ### https://link.springer.com/article/10.1007/s10509-016-2911-0 ###

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tenure-track faculty position at the University of Pennsylvania in auditory neuroscience
by Maria Neimark Geffen 22 Sep '22

22 Sep '22

Dear Colleagues, The University of Pennsylvania is recruiting a tenure-track assistant professor in auditory neuroscience. Please apply by November 1 via the link below to be part of our collaborative and interdisciplinary systems and computational neuroscience community. Please do not hesitate to reach out with any questions. With kind wishes, -Maria ______ Assistant Professor of Auditory Neuroscience, Tenure Track The Department of Otorhinolaryngology: Head and Neck Surgery at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for an Assistant Professor position in the tenure track. Expertise is required in the specific area of systems neuroscience with a focus on identifying the neural correlates of hearing function or dysfunction with an emphasis on identifying the causal relationships between neural activity in individual neurons and/or circuits and learning or behavior. Particular areas of interest include computational neuroscience and translational approaches. Applicants must have an M.D. or Ph.D. or M.D./Ph.D. degree. Teaching responsibilities may include training of graduate students and post-doctoral investigators. Research or scholarship responsibilities may include building an independent research program in basic and/or translational studies in auditory neuroscience. Scholarship should include peer-reviewed publications and presentations of work at scientific meetings and other venues. The selected candidate will be expected to develop interactions with investigators not only in the department, but within the greater neuroscience community in the Perelman School of Medicine (e.g. the Computational Neuroscience Institute) and across the University campus. Ideally, the candidate should have the vision and ability to effectively interact with clinicians to establish and foster translational research programs within their research discipline. The ideal candidate should have completed advanced postdoctoral training or be an early career investigator with an exceptional record of research achievement demonstrating a trajectory for success in academic medicine. Key selection criteria will be in research excellence and originality of science. There is opportunity for a secondary appointment in a basic science department for the successful candidate. Candidates with a keen interest in building interdisciplinary programs through interactions across the basic and clinical departments within the Perelman School of Medicine, as well as other health-related schools at the University of Pennsylvania, are encouraged to apply. The Department of Otorhinolaryngology: Head and Neck Surgery is among the leading departments in the nation, and home to basic and translational scientists who conduct world-class research in auditory systems neuroscience. The Perelman School of Medicine at the University of Pennsylvania provides an intellectually vibrant and collaborative interdisciplinary environment, with a wealth of cutting-edge research resources. We seek candidates who embrace and reflect diversity in the broadest sense. The University of Pennsylvania is an EOE. Minorities/women/individuals with disabilities/protected veterans are encouraged to apply. To apply, visit https://apply.interfolio.com/100900 ______________________________ Maria N. Geffen, Ph.D. (she/her) Associate Professor Department of Otorhinolaryngology Department of Neuroscience Department of Neurology Co-Director, Computational Neuroscience Initiative Stemmler Hall G14 3450 Hamilton Walk Philadelphia PA 19104 (215)898-0782 mgeffen(a)pennmedicine.upenn.edu http://hosting.upenn.edu/hearing Twitter: @neimarkgeffen <http://twitter.com/neimarkgeffen>

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Announcement and call for abstracts, Benzon Symposium 67 – Bringing Circuit for Movement Together, Copenhagen, September 4-7, 2023
by Auke Ijspeert 22 Sep '22

22 Sep '22

Dear computational neuroscientists, The conference below with a wonderful list of speakers might interest researchers working on modeling motor control. Please check it out and prepare abstracts if interested. Best regards Auke Ijspeert Benzon Symposium 67 – Bringing Circuit for Movement Together *Copenhagen, September 4-7, 2023* https://benzon-foundation.dk/benzon-symposium-67-bringing-circuit-for-movem… <https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbenzon-fo…> Organizers: Ole Kiehn, Claire Wyart, Auke Ijspeert, Hans Bräuner-Osborne, and Finn Cilius Nielsen The Benzon symposia are international conferences on front line research in medical, pharmaceutical and related sciences funded by the Alfred Benzon Foundation. The idea of the 67^th Benzon Symposium *“Bringing Circuit for Movement Together”* is to bring together the world’s leading scientist together who work in different areas of movement control and regulation. A particular aspect is that the conference will bridge the sensory, cognitive, and emotional aspects of movement control as well as new computation approaches. With its lay-out it will create an intense and interactive environment for both young and experiences scientist. The Symposium will be a four-day scientific meeting, Monday to Thursday from 09:00 to 17:30. The format will be a combination of state-of-the-art lectures by invited speakers, selected oral-poster presentations and poster sessions. *Sessions:* * Functional organization of brainstem circuits controlling breathing and orofacial expression * Functional and molecular organization of spinal circuits controlling locomotion * Brainstem circuits for control of motor behavior * Action selection and motor strategies * Beyond the connectome: neuromodulation * Planning, motor learning, and decision making * Sensory-motor integration * Integration of cognitive brain functions and movement *Confirmed invited speakers:* * Ole Kiehn (DK) * Claire Wyart (F) * Mackenzie Mathis (CH) * Karl Deisseroth (USA) * May-Britt Moser (N) * Ann Graybiel (USA) * Cornelia Bargmann (USA) * Eve Marder (USA) * Rui Costa (P) * Megan Carey (USA) * Eiman Azim (USA) * David Kleinfeld (USA) * Martin Goulding (USA) * Sten Grillner (S) * Abdel ElManira (S) * Tadashi Isa (JP) * Silvia Arber (CH) * Dora Angelaki (USA) * Auke Ijspeert (CH) * Jack Feldman (USA) * Rejean Dubuc (C) * David McLean (USA) * Kimberly Dougherty (USA) * Bence P. Ölveczky (USA) Abstracts: In order to participate in the symposium, *one MUST submit an abstract before the deadline April 1^st , 2023 *(at noon). Please prioritize early registration as registrations are on a first come, first served basis. Abstracts submitted after this deadline will not be taken into consideration. *Submission round opens: March 1, 2023* *Submission round closes: April 1, 2023* Final registration/payment: (provided acceptance of abstract): May 15, 2023 Fee: TBA (scientific meeting, hotel accommodation Sunday-Thursday, official meals and social events). More info: https://benzon-foundation.dk/benzon-symposium-67-bringing-circuit-for-movem… <https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbenzon-fo…> -- ----------------------------------------------------------------- Prof Auke Jan Ijspeert Biorobotics Laboratory EPFL-STI-IBI-BIOROB, ME D1 1226, Station 9 EPFL, Ecole Polytechnique Fédérale de Lausanne CH 1015 Lausanne, Switzerland Office: ME D1 1226 Tel: +41 21 693 2658 Fax: +41 21 693 3705 www:http://biorob.epfl.ch Email:Auke.Ijspeert@epfl.ch -----------------------------------------------------------------

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NIH-funded Postdoc or Software Developer position on multiscale brain modeling
by Salvador Dura 21 Sep '22

21 Sep '22

An NIH-funded Postdoc or Software Developer position is now available in the Dura-Bernal Lab<http://dura-bernal.org/> at the State University of New York (SUNY) Downstate Health Sciences (Brooklyn, New York). The position is focused on multiscale modeling of the brain, more specifically, developing a co-simulation interface between the NetPyNE<http://dura-bernal.org/www.netpyne.org> and The Virtual Brain<http://dura-bernal.org/www.thevirtualbrain.org> (TVB) tools, which will link the molecular, cellular, circuit and whole-brain network scales. The resulting multiscale models will help interpret experimental data ranging from single cell recordings and LFP up to EEG and fMRI. For details please visit: http://dura-bernal.org/postdoc-2022

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postdoc position at UC San Diego
by Gal Mishne 20 Sep '22

20 Sep '22

A fully funded postdoc position is available in the research group of Dr. Gal Mishne at the Halıcıoğlu Data Science Institute (HDSI) at UC San Diego. This position is part of a multi-disciplinary project <https://ucsdnews.ucsd.edu/pressrelease/keck-foundation-study-dementia> in collaboration with the Ferguson <http://fergusonlab.ucsd.edu/> and Schöneberg <https://www.schoeneberglab.org/home> labs at UCSD to study dementia. Research will be primarily focused on developing models and analysis methods for dynamical networks extracted from cutting-edge 4D lattice light-sheet imaging of brain organoids collected in the Schöneberg lab. The position offers excellent interdisciplinary training possibilities at the intersection of machine learning, applied mathematics and biology. Applicants should have a Ph.D. in electrical/biomedical engineering, computer science, applied mathematics, neuroscience, or other related fields. Applicants can apply here: https://forms.gle/CQHWyKbxJUg84WV87 <https://forms.gle/CQHWyKbxJUg84WV87>. Women and under-represented minorities are strongly encouraged to apply. The position would ideally start as soon as possible (fall 2022). The Halıcıoğlu Data Science Institute is an academic unit at UC San Diego with a focused mission - to lay the groundwork for the scientific foundations of this emerging discipline, develop new methods and infrastructure, and train students, faculty and industrial partners to use data science in ways that will allow them to solve some of the world’s most pressing problems. ---- Gal Mishne Assistant Professor Halıcıoğlu Data Science Institute University of California San Diego http://mishne.ucsd.edu/ My working hours and your working hours may be different. Please do not feel obligated to reply outside of your normal working hours.

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Brain Criticality Hybrid Meeting 2022
by BATTAGLIA Demian 20 Sep '22

20 Sep '22

We are happy to announce that the next conference on “Criticality in Neural Systems 2022: Collective Behavior, Synchronization, and Complexity” will take place at the Porter Neuroscience Research Center (National Institute of Health, Bethesda, MD, USA) from Nov. 7 – 9th, 2022 (shortly before the SFN Meeting, San Diego) The conference will be held in a hybrid format, both in presence at NIH Bethesda and via Zoom. Presentations by the invited speakers, with ample time for discussions, including with online participants, will be complemented by a poster session (in presence and online) and by a selection of contributed spotlight presentations. Keeping line with previous editions of the Brain Criticality conferences series, this conference will present the latest experimental and theoretical advancements in the study of critical phenomena in brain activity and their functional relevance. While preserving emphasis on criticality, this edition will feature as well communications about general collective behavior and dynamic complexity in the brain (and other biological systems). REGISTRATION IS OPEN AND FREE ON https://braincriticality.org/ Deadline for registration in presence: October 9th Deadline for virtual registration: October 23rd Deadline for abstract submission (with spotlight oral preference): October 9th Deadline for abstract submission (poster only): October 23rd Confirmed Speakers Ad Aertsen (Freiburg, Germany) Dante Chialvo (Buenos Aires, Argentina) Karin Dahmen (Urbana-Champaign, IL) Irene Giardina (Rome, Italy) Michelle Girvan (College Park, MD) Moritz Helias (Jülich, Germany) Henrik Jensen (London, UK) Arvind Kumar (Stockholm, Sweden) Anna Levina (Tübingen, Germany) Klaus Linkenkaer-Hansen (Amsterdam, the Netherlands) Simona Olmi (Sesto Fiorentino, Italy) Orit Peleg (Boulder, CO) Pawel Romanczuk (Berlin, Germany) Woodrow Shew (Fayetteville, AR) James Shine (Sidney, Australia) Samir Suweis (Padova, Italy) Enzo Tagliazucchi (Buenos Aires, Argentina) Bradley Voytek (La Jolla, CA) Ralf Wessel (St Louis, MO) Changsong Zhou (Hong Kong, Popular Republic of China) Organizers Dietmar Plenz (Bethesda, MD) Lucilla de Arcangelis (Caserta, Italy) Miguel Angel Munoz (Granada, Spain) Mauro Copelli (Recife, Brazil) Demian Battaglia (Marseille & Strasbourg, France) For more information visit our website https://braincriticality.org/ or contact us over email.

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Faculty positions at Washington University in St Louis
by Geoffrey Goodhill 19 Sep '22

19 Sep '22

Assistant Professor positions in Theoretical/Computational Neuroscience The Department of Neuroscience at Washington University School of Medicine is currently recruiting investigators with the passion to create knowledge, pursue bold visions, and challenge canonical thinking as we expand into our new 600,000 sq ft purpose-built neurosciences research building. We are now seeking tenure-track investigators at the level of Assistant Professor to develop innovative research programs in Theoretical/Computational Neuroscience. Applicants should have a strong background in physics, mathematics, engineering or computer science, or any related field and hold a PhD. The successful candidates will join a thriving theoretical/computational neuroscience community at Washington University. We are particularly interested in researchers who are both creative and collaborative. The Department of Neuroscience has world-class research strengths in systems, circuits and behavior, cellular and molecular neuroscience using a variety of animal models including worms, flies, zebrafish, rodents and non-human primates. The Department’s focus on fundamental neuroscience, outstanding research support facilities, and the depth, breadth and collegiality of our culture provide an exceptional environment to launch your independent research program. Washington University is an Equal Opportunity Employer. Our Department highly values all our researchers, staff and trainees, and we provide an inclusive environment for people from diverse backgrounds and experiences. We are dedicated to advancing diversity and inclusion, core values shared by the School of Medicine and the entire university. Facilitated by the Department of Neuroscience liaison to the Office of Diversity, Equity and Inclusion at the Washington University School of Medicine, we are enabling initiatives that promote diversity and ensure that the department continues to be a welcoming place for everyone. For application instructions please see https://neuroscience.wustl.edu/assistant-professor-theoretical-computationa… Professor Geoffrey J Goodhill Departments of Neuroscience, Developmental Biology, Biomedical Engineering, and Electrical and Systems Engineering Washington University in St Louis St. Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

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Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil
by Antonio Roque 19 Sep '22

19 Sep '22

*Postdoctoral Fellowships inAcquisition, processing and quantitative analysis of neurobiological data* The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), hosted by the University of São Paulo (USP), Brazil, and funded by the São Paulo Research Foundation (FAPESP), is offering two post-doctoral fellowships for recent PhDs with outstanding research potential. The fellowship will involve collaborations with research teams and laboratories associated with NeuroMat. The research to be developed by the post-doc fellow shall be strictly related to ongoing research lines developed by the NeuroMat team. The project may be developed at USP (São Paulo or Ribeirão Preto) or at UNICAMP (Campinas). We seek candidates capable of developing independent research in one of the research lines below: 1. Stochastic modeling of neurobiological data. 2. Acquisition, processing and quantitative analysis of electrophysiological data. 3. Development of neurostimulation protocols. Candidates to the first research line are required to have a strong background in probability theory with an emphasis on stochastic processes. Candidates to the second research line are required to have a strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis, and knowledge of computer programming. Candidates to the third research line are required to have a solid background in biomedical instrumentation or medical physics with previous experience in transcranial magnetic stimulation, neuronavigation and knowledge of robotics and computer programming. The initial appointment is for one year, with a possible extension to up to one year, conditional on research progress. The fellowship is competitive at an international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. Application Instructions: Applicants should complete and submit the application form. The following documents and information are requested (please see the form for further details): - Summary of the CV, in the format required by FAPESP (see fapesp.br/en/6351 for instructions); - List of publications, with links to those available online. - A summary of the research plan for the next year, up to 5 pages in length. This document must explicitly state for which of the three aforementioned profiles the candidate has applied. It should also address how this research plan fits within the framework of the NeuroMat research program. - Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested; - Any further information deemed relevant to the application. In addition to the above, we require at least two recommendation letters. Those should be mailed by the recommenders directly to postdoc-appl(a)numec.prp.usp.br. Timetable: Candidates are encouraged to apply at their earliest convenience until October 31, 2022. Appointment is expected to start by December 1st, 2022. The initial period of the position lasts for 12 months, with possible renewals for up to one year. This opportunity is open to candidates of any nationality. The selected candidates will be awarded FAPESP Postdoctoral fellowships in the amount of R$8.479,20 monthly and a research contingency fund, equivalent to 10% of the annual value of the fellowship, which should be spent on items directly related to the research activity. More details on FAPESP's postdoctoral fellowships are available at: fapesp.br/en/5427. -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior(a)usp.br <antonior(a)ffclrp.usp.br> aroquesilva(a)gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 <+55%2016%203315-3768> (sala/office); +55 16 3315-3859 <+55%2016%203315-3859> (lab) FAX: +55 16 3315-4887 <+55%2016%203315-4887>

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Job: ML Engineer to extend ReservoirPy library for health data (Reservoir Computing)
by Xavier Hinaut 19 Sep '22

19 Sep '22

We are looking for an engineer for at least one year to work with the open source ReservoirPy library on health data. You will be working in Bordeaux, France in the Mnemosyne computational neuroscience group https://team.inria.fr/mnemosyne <https://team.inria.fr/mnemosyne> in collaboration with other Bordeaux teams involved in biostatistics and machine learning. More info and online application: https://jobs.inria.fr/public/classic/en/offres <https://jobs.inria.fr/public/classic/en/offres> * ReservoirPy ReservoirPy [1, 2, 3] is a simple user-friendly library based on Python scientific modules. It provides a flexible interface to implement efficient Reservoir Computing (RC) [5] architectures with a particular focus on Echo State Networks (ESN) [4]. Advanced features of ReservoirPy allow to improve computation time efficiency on a simple laptop compared to basic Python implementation. Some of its features are: offline and online training, parallel implementation, sparse matrix computation, fast spectral initialization, advanced learning rules (e.g. Intrinsic Plasticity) etc. It also makes possible to easily create complex architectures with multiple reservoirs (e.g. deep reservoirs), readouts, and complex feedback loops. Moreover, graphical tools are included to easily explore hyperparameters with the help of the hyperopt library. It includes several tutorials exploring exotic architectures and examples of scientific papers reproduction. Github: https://github.com/reservoirpy/reservoirpy <https://github.com/reservoirpy/reservoirpy> Documentation: https://reservoirpy.readthedocs.io <https://reservoirpy.readthedocs.io/> Related projects: https://github.com/reservoirpy <https://github.com/reservoirpy> Twitter: https://twitter.com/reservoirpy <https://twitter.com/reservoirpy> * Deadline: 20th of September 2022 For informal questions send an email to xavier dot hinaut at inria dot fr. Online application: https://jobs.inria.fr/public/classic/en/offres <https://jobs.inria.fr/public/classic/en/offres> * Contract Engineer contract of 1 year, with possibility to extend the contract to more years or to continue in the team as PhD student. * Benefits package - Subsidized meals - Partial reimbursement of public transport costs - Possibility of partial teleworking and flexible organization of working hours - Professional equipment available (videoconferencing, loan of computer equipment, etc.) - Social, cultural and sports events and activities - Access to vocational training - Social security coverage [1] Trouvain N, Pedrelli L, Dinh TT, Hinaut X (2020). Reservoirpy: an efficient and user-friendly library to design echo state networks. International Conference on Artificial Neural Networks, 494-505. https://hal.inria.fr/hal-02595026v2/document <https://hal.inria.fr/hal-02595026v2/document> [2] Trouvain, N., Rougier, N. P., & Hinaut, X. (2022). Create Efficient and Complex Reservoir Computing Architectures with ReservoirPy. In FROM ANIMALS TO ANIMATS 16: The 16th International Conference on the Simulation of Adaptive Behavior (SAB2022). https://hal.inria.fr/hal-03761440/document <https://hal.inria.fr/hal-03761440/document> [3] Nathan Trouvain, Xavier Hinaut. reservoirpy: A Simple and Flexible Reservoir Computing Tool in Python. 2022. HAL preprint hal-03699931. https://hal.inria.fr/hal-03699931/document <https://hal.inria.fr/hal-03699931/document> [4] Jaeger, H., & Haas, H. (2004). Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication. science, 304(5667), 78-80. [5] Lukoševičius, M., & Jaeger, H. (2009). Reservoir computing approaches to recurrent neural network training. Computer Science Review, 3(3), 127-149. Xavier Hinaut Inria Research Scientist www.xavierhinaut.com -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en --- Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy

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