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analysis to gain broad biological insight and on the development of computational methods to enable conceptually novel analyses. The research group is mostly computational with a small wet-lab component
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and computational chemistry. The position offers the opportunity to contribute to cutting-edge research in one of two main directions: Application of quantum mechanical method (QM/MM) to bioinorganic
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Postdoc position in method development in human statistical genetics, with a focus on classificat...
University. Dr Speed's research involves developing statistical methods for better analysing data from genome-wide association studies (GWAS), with a particular focus on improving our understanding of human
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-supported research infrastructure. Our group develops computational and statistical methods for large-scale genomic, clinical, and phenotypic data and collaborates closely with partners in computer
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Computational Neurogenomics / AI - Postdoctoral Associate Yale School of Medicine | Adams Center for Parkinson’s Disease Research | New Haven, USA Join a mission-driven team at Yale to build a
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The Senior Computational Researcher will perform analyses using existing, modified, or newly developed tools/methods. Set up tools and troubleshoot analyses using new or modified computational
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both computational and experimental biology to join our team in reimagining how we discover and deploy drug combinations in the clinic. Our work is highly interdisciplinary, integrating high-throughput
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application instructions), please visit: https://www.mpg.de/en/max-planck-postdoc-program . To submit your application online, please visit: https://postdocprogram.mpg.de The application deadline is April 13
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Process To apply for the MPG-WIS Joint Postdoctoral Program, please follow the application guidelines below: Contact researchers at MPG (see list of institutions ; https://www.weizmann.ac.il/sites/mpg-wis
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https