Applications are invited for a 3-year fully funded PhD Studentship
Tentative starting date: 1 April 2021.

Title: 
Integrated machine learning approaches to dissect the link between androgen excess 
and metabolic disease in women

In this interdisciplinary project, supervised and unsupervised machine learning techniques
including but not limited to neural networks and prototype-based metric learning
will be applied to analyse steroid metabolome, global non-targeted metabolome and clinical 
phenotype data. 
For detailed information, application procedure etc. see 

https://www.findaphd.com/phds/project/integrated-machine-learning-approaches-to-dissect-the-link-between-androgen-excess-and-metabolic-disease-in-women/?p129537



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Prof. Dr. Michael Biehl
Bernoulli Institute for
Mathematics, Computer Science
and Artificial Intelligence
P.O. Box 407, 9700 AK Groningen
The Netherlands

Tel. +31 50 363 3997