53 computational "https:" "https:" "https:" "https:" "https:" positions at Yale University
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Position Description Position Description The Department of Applied and Computational Mathematics (ACM) in the School of Engineering & Applied Science (SEAS) at Yale University invites applications
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Position Description The Department of Applied and Computational Mathematics (ACM) in the School of Engineering & Applied Science (SEAS) at Yale University invites applications for a tenure-track
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Position Description The Department of Applied and Computational Mathematics (ACM) in the School of Engineering & Applied Science (SEAS) at Yale University invites applications for a tenured faculty
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) chemosignaling, computational biology, behavior genetics, or related areas is desirable. Candidates with interests that complement ongoing projects at HNL ( https://humannaturelab.net/ ) will be given particular
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) chemosignaling, computational biology, behavior genetics, or related areas is desirable. Candidates with interests that complement ongoing projects at HNL ( https://humannaturelab.net/ ) will be given particular
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Assistant Professor, Computational Biophysics and Biochemistry Yale University: Faculty of Arts and Sciences: Biological Science: Molecular Biophysics and Biochemistry Location New Haven, CT Open
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collaborates with epidemiologists, computational biologists, and global health researchers domestically and at international partner sites. The role will include bench work including tissue culture
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statistical, computational, and/or machine learning methodologies to address them. The search is broad and welcomes research spanning modern statistical methods, machine learning, AI, and emerging approaches
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anticipated start date of July 1, 2027. We seek statisticians and data scientists whose research is motivated by important real-world problems and contributes to new statistical, computational, and/or
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(QBio). Our research connects mathematical and statistical foundations with computational methods, drawing on challenges in structural biology to develop ideas with broader applications across data