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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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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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of such efforts. Responsibilities will include activities such as working with large public datasets, designing and implementing relevant experiments writing manuscripts, presenting research, and mentoring
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is subject to the University's background check policy. The work location for this position is in-person on campus at Princeton University.Information about the research activities of the Department
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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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receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status
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-person on campus at Princeton University. Information about the research activities of the Department of Geosciences may be viewed at https://geosciences.princeton.edu. Expected Salary Range: $65,000
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body. Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation
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limited to) scope and responsibilities of the position, candidate's qualifications, work experience, education/training, key skills, market, collective bargaining agreements as applicable, and
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research, education, and industry use, particularly in energy saving, emission accounting, and resource recovery. We are seeking a highly motivated and organized researcher with the following qualifications