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Technology Studies. Preferred focus areas: critical computing/artificial intelligence studies; labor and automation technologies; medicine/alternative medicine; chronic illness and/or disability studies
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Compensation policy, and support for travel to conferences may also be available. ( https://postdocs.yale.edu/postdocs/being-a-postdoc-at-yale/postdoctoral-compensation ) Application Instructions Yale
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Salary will be based on the Yale Postdoctoral Compensation policy, and support for travel to conferences may also be available. ( https://postdocs.yale.edu/postdocs/being-a-postdoc-at-yale
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algorithms and running these models on high performance GPU computing clusters. The training will also provide knowledge about the recent advances in large language models. Mentoring: The
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understanding of machine learning algorithms in scientific computing, with emphasis on cryo-EM applications * AI for computational mathematics: Developing tools and methodology for using AI assistants in
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travel to conferences may also be available. (https://postdocs.yale.edu/postdocs/being-a-postdoc-at-yale/postdoctoral-compensation) and is aligned with university/NIH-related guidelines as applicable
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Qualifications High-performance or cloud computing experience. Experience with large data sets, including spatial data, administrative data, or consumer data. Benefits Yale offers an excellent and
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oral and written communication skills, and the ability to work effectively with a wide range of constituencies in a complex and diverse setting Proficiency with statistical computing (e.g., R, Python or
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, 2021) in kidney cancer. The ideal candidate will have a strong background in computer/data science (including statistics), knowledge of R and python, and experience with high performance computing
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skills, and the ability to work effectively with a wide range of constituencies in a complex and diverse setting ● Proficiency with statistical computing (e.g., R, Python or C/C