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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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projections) to communities in need of improved decision-making guidance. The successful candidates will have the opportunity to develop actionable weather and Earth System data and knowledge that will be used
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computer science, cognitive science, or a related field is required. Applicants must apply online at https://puwebp.princeton.edu/AcadHire/position/40461 and include a cover letter, curriculum vitae, research
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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 preferred. Apply online at https