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, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in
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. Qualifications The successful candidate will have a PhD and a strong background in quantitative research/statistics/econometrics. Strong computational skills are required. Ideally these skills would include
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or another life-science field A demonstrated ability to use state-of-the-art instruments to address a scientific question A demonstrated ability to secure external funding (e.g., travel grants, PhD fellowships
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for Energy, Environment and Sustainability *Optical Materials and Light Matter Interactions *Quantum Materials Science Qualifications A PhD in Materials Science, Optics, Physics, Chemistry, Electrical
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. Qualifications Required Qualifications PhD in Computer Science, Materials Science, Physics, Chemistry, Geosciences, or a related field. Strong background in machine learning, scientific computing, or computational
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instruments to address a scientific question A demonstrated ability to secure external funding (e.g., travel grants, PhD fellowships) Application instructions: Applicants must apply online via interfolio
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stakeholders involved in planning and decision-making. Qualifications Candidates must have a PhD in atmospheric physics, hydrology, meteorology, Earth system science, climate studies, applied mathematics
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of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https://www.nature.com/articles/s42256-021-00407-x ), and extending these tools or developing new models as
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The Department of Psychology at Princeton University invites applications for a Postdoctoral Research Associate. Applicants should have a PhD degree (or expect to receive a PhD degree by June 15
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quantitative backgrounds who are enthusiastic about bringing their expertise to address fundamental problems in biology and medicine using cutting-edge technologies. The Pritykin lab (http