104 machine-learning "https:" "https:" "https:" "https:" positions at Princeton University
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the position involves working with researchers and running research studies, this is not primarily a research position. The work is in person, and having a car is helpful as recruitment of participants involves
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: 280363223 Position: Postdoctoral Research Associate Description: The Department of Electrical and Computer Engineering invites applications for postdoctoral, or more senior, research positions. The term
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references is required. To learn more about AI at Princeton, please visit https://ai.princeton.edu. Princeton University is committed to fostering a diverse and inclusive academic community. To maximize
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at https://puwebp.princeton.edu/AcadHire/position/40281 and submit a current curriculum vitae, research statement, and a cover letter. Contact information for three references is required. To learn more
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and maintaining experimental and training equipment. Along with experimentation, the candidate will assist other members in the planning and implementation of surgical procedures, learning relevant
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temperatures in accordance with HACCP policies Break down and store food items at the end of each day's final meal period Operate the dish machine and return clean dishes to the appropriate areas Watch for
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of novel algorithms, machine learning for parsing biological data sets (genomics, proteomics, imaging, neuroscience), and related areas at the interface of computer/data science and the life sciences
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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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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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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