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, preferably Python and experience with frameworks such as TensorFlow or PyTorch. Mentoring: The primary supervisor, Dr. Hua Xu, is a well-known researcher in clinical NLP. The postdoc will be directly mentored
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postdoctoral compensation policies: https://postdocs.yale.edu/policies/postdoc-compensation This position includes eligibility for Yale’s benefits program: https://postdocs.yale.edu/postdocs/benefits Interested
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: We would like to recruit a postdoctoral fellow in cancer outcomes research, with a particular interest in decision/simulation modeling and cost-effectiveness analysis. The ideal candidate will have
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work spans ovarian aging, cardiovascular disease, and therapeutic interventions, with a focus on deciphering cellular dynamics and molecular mechanisms driving tissue remodeling, ultimately to identify
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Foundations of Data Science Postdoc Opening Yale’s Institute for Foundations of Data Science (FDS) is seeking applications for postdoctoral associate positions in Data Science. These will be
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responses, host pathogen interactions, and immunological pathways that modulate mucosal immunity and inflammatory bowel disease (IBD) pathogenesis. The current position will focus on elucidating molecular
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. The candidate is expected to work in theoretical condensed matter, quantum information science and related fields (e.g. correlated systems, light-matter interactions, non-equilibrium dynamics, quantum simulation
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Lab to identify molecular signatures defining sickle cell disease (SCD) and reduced vaccine response by analysis of systems-level data profiling innate immunity and long-term adaptive immunity among
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and cannabinoids, combining molecular neuroscience, genetics, electroencephalography, imaging, and psychopharmacology. We are deeply committed to training the next generation of scientists and
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, genetic and neuroimaging data to identify new biological mechanisms and develop precision medicine tools for these conditions. We have a track record of training outstanding postdocs who go on to successful