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healthcare. Qualifications Required: PhD (or equivalent) in computer science, statistics, biostatistics, electrical/biomedical engineering, or related quantitative field. Strong background in machine learning
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preparation for a full time academic or research career. Work Performed DEFINITION: The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be
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regional leadership in biostatistics, genomics, biomedical informatics, artificial intelligence and health data science. The Postdoctoral Associate will conduct research in statistical machine learning and
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consists of four departments with 130 tenure-track faculty members, 1250 undergraduate students, 1400 master’s students, and 600 PhD students. Housed within a university renowned for its programs in
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degree is to be conferred. Other Credential/Experiential Requirements: The incumbent must be a true post-doctoral fellow registered with the Post Doc Office and per the following requirements: The term
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. Occupational Summary The David Lab at Duke University (www.ladlab.org ) is recruiting a postdoctoral fellow to join an established research group developing and applying DNA sequencing and computational
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, United States of America [map ] Subject Areas: Mathematics / applied mathmetics , Mathematical Sciences , Partial Differential Equations , Statistics Computer Science Machine Learning Appl Deadline: none (posted 2025/08
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multiple affiliations. Postdoctoral FellowPosition Computational approaches to malaria parasite antigen diversity Duke Global Health Institute Be You. The Malaria Collaboratory is recruiting an exceptional
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connections with other scholars and joining campus intellectual life, as well as mentorship from GSF faculty. Applicants should have PhD in hand by July 1, 2026, and should have earned their PhD no earlier than
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. Minimum Requirements: PhD or equivalent doctorate (e.g., ScD, MD, DVM) in psychology, psychiatry, neuroscience, biostatistics, bioinformatics, computer science, or a related field. Research background in