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as a one‐year appointment, but renewable annually based on performance. The position involves postdoctoral work in developing efficient methods and tools for analyzing large-scale biomedical data with
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their appointment. PhD in Nutritional Studies, Nutritional Epidemiology, Public Health, or a related field. Strong background in research methods, including intervention studies and/or clinical trials. Experience
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, aligned to different users’ values, must coordinate, negotiate, and resolve conflicts, and designing and testing methods for aligning individual AI agents to user values in ways that reflect how humans
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collaboration with Profs Carlos Fernandez-Granda, Joan Bruna, Laure Zanna, the successful candidate will focus on developing methods to capture and understand generalization in AI emulators, in particular
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materials using statistical mechanics, molecular simulations, and machine learning. Expectations Candidates will be responsible for: Developing multi-scale modeling methods for polymeric materials, using
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of mammals inhabiting extreme terrestrial biomes. Planned projects combine state-of-the art sequencing methods to generate chromosome-level haplotype-resolved genomes and re-sequencing methods to address
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following is strongly desired: experience analyzing population genomic data, experience in demographic inference from genomic data, experience in selection detection methods. Excellent communication skills in