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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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for these frameworks, and use them to analyze key performance indicators such as achievable rates, coverage, and energy efficiency, as well as optimize relevant system parameters. Applicants must hold a PhD degree or
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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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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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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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Biology is looking for a highly motivated and independent individual to work as a Postdoctoral Associate. This position is for a post-PhD trainee preparing for a research scientist career path. The planned
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is expected that the postdoc in this position will seek funding (e.g., an NIH NRSA award) for continuing the position after the first year. Applicants must have completed the PhD by the date
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genes, neural circuits, and behavior. For more information about our work, visit https://www.bayer-lab.org/research This position is for a post-PhD trainee. The Postdoctoral Associate will develop and
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of their effective start date. This position is for a post-PhD trainee preparing for a research scientist career path. The planned position will provide a transition to career independence through