229 phd-rehabilitation-engineering-computer-science Postdoctoral positions at Princeton University
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. Individuals with a passion for interdisciplinary energy-system decarbonization studies aiming to inform policy and investment decision-making are sought. Applicants will have an engineering PhD, or equivalent
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; have (or expect to have) a PhD in Molecular Biology or related field; research experience in one or more of the following protein purification, protein-nucleic acid biochemistry, cryo-electron
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, experience with a variety of programming languages, and familiarity with critical path planning tools, are essential. A Ph.D. in engineering, operations research, computer science, or another related field is
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, operations research, computer science, or another related field is required. Experience working across disciplines and with industry is highly desirable.The term of appointment is based on rank. Positions
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, Atmospheric and Oceanic Sciences, Geosciences, Computational Science and Engineering, or a related area is required.The position will involve developing models and algorithms for the evolution of inorganic
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the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated Faculty of the Department of Computer Science. The desired start date is Spring 2025. Appointments are for one
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have more than two years of post-PhD research experience by the start of appointment. TRI is especially interested in scholars whose research focuses on the relationship between religion and nationalism
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, to study novel renewable energy technologies. The candidates are expected to have a PhD degree in Chemical Engineering or related field, and have experience with optimization (theory, modeling, and tools
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to computer science, sociology to psychology, engineering to environmental studies - to make novel insights and to tackle the full complexity of human health.We seek applicants to join any of the several
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for peer reviewed publications Qualifications*Ph.D. in Environmental/Civil Engineering, Computer Science/Engineering, Data Science, or a closely related field*Proficiency in Python or other tools and ML