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date 2 Postdoc Positions in Pancreatic Cancer Immunology and Computational Biology Reference number: 2025-0274 The Saur Lab is deploying advanced in vitro and in vivo model systems, genetic perturbations
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time. Collaborate on project and analysis design guided by their PI. Develop new computational methods. Adhere to field and lab standards for data analysis. Identify, process, organize, interpret, review
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Postdoctoral Research Scholar in Machine Learning and Computational Genomics Department of Epidemiology, School of Public Health, University of Pittsburgh The Department of Epidemiology
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Skip to main content Skip to main menu Skip to user menu Log In or Create Account Recruiters: Post a Job Home Find a job Job alerts Search employers Upload your CV Find an event Useful Info Training(This link will open in a new window) Careers Advice(This link will open in a new window) The job...
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world-class clinical and computational teams, with full intellectual ownership. Publish influential research, supervise students, and contribute to grant applications as a named investigator. Leave with
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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38,5 h/week) The position is offered as a fixed-term appointment until 30 September 2032, corresponding to the duration of the professorship
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outstanding postdoctoral researchers in the fields of Physics, Chemistry, Mathematics, Computer Science, Earth Science and the Life Sciences. This collaborative program offers a comprehensive four-year position
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A Postdoctoral Research Associate or more senior research position in computational biology is available in the Pritykin lab at the Lewis-Sigler Institute for Integrative Genomics and the
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functional genomics and molecular mechanisms to lead the next phase of our causal target validation program. This role sits at the interface of cutting-edge genomic discovery, mechanistic biology, and
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
radiologists involved in the projects. Training and research environment The Brain Imaging & Neuro Epidemiology group (BraINE) develops advanced methods for medical images analysis, combining computer vision