200 machine-learning "https:" "https:" "https:" "https:" "U.S" "U.S" Postdoctoral positions at Princeton University
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at the Lewis-Sigler Institute for Integrative Genomics and the Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine
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theoretical astrophysics. Applicants may work with the Department's distinguished faculty and research staff. For a full list of department members and activities, see https://web.astro.princeton.edu
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Qualifications: PhD in a relevant discipline. Interested applicants must apply online at https://www.princeton.edu/acad-positions/position/37762 and include a cover letter, curriculum vitae, a brief statement of
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at Princeton. The position(s) will be supervised by Prof. Bronwyn Bjorkman and/or Prof. Laura Kalin. The successful candidate(s) may be invited to teach one course for Linguistics per semester, pending
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: 281084916 Postdoctoral Research Associate D-25-HME-00011 | Research | High Meadows Environmental Institute The High Meadows Environmental Institute (HMEI), (https://environment.princeton.edu/) invites
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, Chemistry, or Computer Science). Applications must be submitted online at https://www.princeton.edu/acad-positions/position/40121 Please include a CV, cover letter, a brief (1-2 page) statement of research
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areas: -developmental biology -experimental and/or theoretical biophysics -experimental and/or computational genomics -computer science, statistics, and/or machine learning with applications relevant
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multi-year appointments. Applicants must apply online at https://www.princeton.edu/acad-positions/position/37981 and include a curriculum vitae along with names and contact information for three
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techniques; large data processing and high performance computing; advanced causal inference and statistics; computer vision and novel applications of machine learning. Advanced knowledge of R or Python is
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. The work location for this position is in-person on campus at Princeton University. This position is subject to the University's background check policy. Applicants must apply online at https