214 machine-learning-"https:" "https:" "https:" "RAEGE Az" Postdoctoral positions at Princeton University in United States
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University's background check policy. The work location for this position is in-person on campus at Princeton University. Applicants must apply online at https://www.princeton.edu/acad-positions/position/40983
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biology-experimental and/or theoretical biophysics-experimental and/or computational genomics-computer science, statistics, and/or machine learning with applications relevant to genomics-bioinformatics
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-Sigler Institute for Integrative Genomics and the Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning
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Letter * CV * Brief letter of support from Princeton faculty mentor (one page) Apply at https://www.princeton.edu/acad-positions/position/40361 Applications must be completed by January 31, 2026, at 5:00
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at https://www.princeton.edu/acad-positions/position/40601 and submit a cover letter, resume, a brief statement of research interests, and contact information for at least two references. This position is
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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will pursue research and may teach up to two courses per year, subject to sufficient enrollments and with the approval by the Office of the Dean of the Faculty. The initial appointment is for one year
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inference and statistics; computer vision and novel applications of machine learning.Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is
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and societal. In this context, we welcome applicants from diverse backgrounds such as computer science, electrical and computer engineering, sociology, public policy, information science, communication
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, the humanities as a force of change, and the margin as a place of radical possibility. Additional information about its themes and program may be found at https://arc-hum.princeton.edu/. We seek to hire fellows