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the Andlinger Center for Energy and the Environment and the Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis
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. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. Requisition No: D-25-PSY-00002 PI277114071 Create a Job Match for Similar Jobs About
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of squamate reptiles; the largest group of terrestrial vertebrates on Earth today with 11,000 species. A Ph.D. in Evolutionary Biology, Computational Biology, or related fields, is required. The work will focus
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The Department of Molecular Biology at Princeton University currently has research positions available at the postdoctoral and more senior research levels in the areas of biochemistry, biophysics
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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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Department of Chemical and Biological Engineering at Princeton University. The position is in the broad area of renewable energy systems synthesis, analysis, and optimization. The goal of the project is to
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, lipid vesicles, polymer physics, active materials, single molecule biophysics, biomaterials, materials chemistry, fluid mechanics, rheology, and computational modeling. Candidates should apply at https
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., geography, urban planning, data science, sociology, public health, emergency management). Ideal applicants will have: *Expertise conducting spatial and statistical analyses *Experience with scientific
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computational chemistry. The Term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance and continued funding; those
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retrotransposition using an integrated biochemical and structural approach with a focus on cryo-EM. The postdoctoral scholar will have access to cutting-edge cryo-EM instrumentation and computational resources through