Cerebellar computation postdoc
A postdoc position is available to build and analyze network models of cerebellar cortex that incorporate the diversity of cell types and synaptic connections observed in this structure. The goal of this research is to better understand the functions of these diverse cell types and connections. Approaches from statistical physics, nonlinear dynamics and machine learning will be used, and models will be constrained by new electrophysiological, transcriptomic and connectomic data. The postdoc will be jointly supervised by Wade Regehr (Department of Neurobiology at Harvard Medical School) and Nicolas Brunel (Duke University). The position will be based in Wade Regehr's lab, but with frequent visits to the Brunel lab at Duke. Applicants should have a strong background in computational/theoretical neuroscience, machine learning, theoretical physics, and/or applied mathematics. We are committed to building a diverse intellectual community, and particularly encourage women and members of underrepresented groups to apply to this position. For more information on the labs: Regehr Lab: https://urldefense.com/v3/__https://regehrmedharvard.wordpress.com/__;!!OToa... Brunel Lab: https://www.neuro.duke.edu/research/faculty-labs/brunel-lab Please email a cover letter explaining background and interest in the position, a curriculum vitae, and names & email addresses of two references to: Kim McDaniels Kimberly_Mcdaniels@hms.harvard.edu<mailto:Kimberly_Mcdaniels@hms.harvard.edu> Please have the subject of the email: “Computational Postdoc Applicant:” Your Name
NIH-funded postdoctoral position is available in the group of Dr. Yuri Dabaghian at McGovern Medical School of the University of Texas, Houston. We are looking for scientists with research interests in neuroscience and mathematical physics, network dynamics, and topological data analyses. Some projects are based on studying electrophysiological data, some are theoretically motivated. We are specifically interested in circuit mechanisms of learning and memory and their involvement in neurological disorders, notably Alzheimer's Disease. Successful candidate will develop data-driven hippocampal neuronal network models, develop and creatively apply novel tools for the brain wave (EEG) analyses, Topological Data Analysis of spiking data, etc. Strong background in quantitative disciplines (a PhD and ongoing interest in computational neuroscience, physics or mathematics), plus willingness to do programming and to analyze experimental data is required. All appointments are renewable for at least four years given satisfactory performance. The salary is competitive. The postdoc will be integrated into the large, vibrant neuroscience community of the Texas Medical Center, participate in collaborations with groups at Baylor College of Medicine, Rice University, University of Houston. To apply, please send application materials including a detailed CV, a brief statement of research interests, and contact information of 3 references to Dr. Yuri Dabaghian at [Yuri.A.Dabaghian [at] uth.tmc.edu). The position is available immediately, until filled. For Additional information and informal inquiries, please contact Dr. Dabaghian. We strive for a diverse and inclusive environment, and encourage applications from members of any identity.
participants (2)
-
Nicolas Brunel
-
Yuri Dabaghian