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technical writing skills is essential (preprints are welcome).Candidates must have (or expect to soon receive) a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering
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race in national or global contexts and, with the approval of the Office of the Dean of the Faculty, will teach one semester-long undergraduate elective course. During the semester of teaching
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-2 years experience from PhD, MD, or clinical training). The program centers on cancer metabolism, broadly defined to include technology development, computation, biological studies, drug development
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instructional classes for new users of the SEAS machine shop -Instruct users in machine shop best practices and fabrication techniques. -Ensure all personnel in the shop are following University shop policy and
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exhibitions onsite and on tour. To learn more about the Princeton University Art Museum, visit artmuseum.princeton.edu . Exhibition research Writing and editing label copy Managing relationships with internal
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, multiscale modeling, molecular simulation code/software (e.g., LAMMPS, GROMACS), machine learning. Prior experience with applying simulations to biomolecular systems is a plus but not required. Applicants
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(minimum), accredited trade school graduate (preferred). 5 years + (with trade school) experience in fabrication/machine shop, energy industry or DOE research laboratory OR 10 years + (without trade school
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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d) excellent written, oral communication skills e) strong data analysis skills. Ideal applicants will also have experience with some combination of: a) Machine learning e) code optimization and
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opportunity to participate in teaching activities (e.g. for students in the new Bioengineering PhD program), including the design of custom microscopy setups for specific imaging applications. This position