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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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and machine learning with Prof. Jason M. Klusowski (https://klusowski.princeton.edu). The position is for one year with the possibility of reappointment based on satisfactory performance and
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learning (AI/ML) being a major focus. Many of the laboratory's interests center around the identification of small molecules using mass spectrometry data, and the use of language models to predict
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satisfactory performance and continued funding; those hired at more senior ranks may have multi-year appointments. Essential Qualifications: PhD in a relevant field. Interested applicants must apply online
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positions. Individuals with evidence of experience in scholarly research and a strong commitment to excellence in education are encouraged to apply. A PhD in Materials Science, Optics, Physics, Chemistry
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collaborative research experiences, experience writing proposals for user-facilities, and/or experience leading and mentoring graduate and undergraduate students. A PhD in relevant fields of energy storage
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and more senior research positions. Individuals with evidence of experience in scholarly research and a strong commitment to excellence in education are encouraged to apply. PhD is expected by the start
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continued funding; those hired at more senior ranks may have multi-year appointments. A PhD is required, with appropriate research experience in quantitative biology, (bio)physics, (bio)engineering or related
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$10,000 annually in research funding. Applicants should have a strong track record of research excellence in a related field, and should have or be approaching a PhD in a related discipline (Physics, EE
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. Candidates with a strong commitment to interdisciplinary research are especially encouraged to apply. Applicants should apply at: https://www.princeton.edu/acad-positions/position/39183 and include: *A cover