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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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: 280812534 2025 Postdoctoral Research Associate - AI/machine learning for analytical and forensic chemistry D-25-LPB-00006 | Research | Ludwig Princeton Branch The Skinnider Lab at Princeton University aims
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to apply. We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular dynamics, and materials chemistry. Strong
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engineering, chemistry, physics, or a closely related field are particularly encouraged to apply. We seek candidates with expertise in some or all the following areas: density functional theory, deep learning
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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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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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Prof. Laura Kalin. The successful candidate(s) may be invited to teach one course for Linguistics per semester, pending sufficient enrollments and with the approval of the Office of the Dean
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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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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