25 physical-engineer "Data driven Materials Modeling" Postdoctoral positions at Princeton University
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: 285829864 Postdoctoral Research Associate - Tokamak Physics and Control (Experimental) Location: Princeton, NJ Salary Range or Pay Grade: PDRA: $85,000 - $95,000; ARS: $105,000 - $120,000 Description We
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and continued funding; those hired at more senior ranks may have multi-year appointments. Requirements include a Ph.D. in engineering, applied physical sciences or related areas and an experience in
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doctoral degree in physics, optical engineering, electrical engineering, biophysics, neuroscience or a related STEM field Prior experience in the development of scientific instruments Prior experience in
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processing for quantum and microelectronic device nanofabrication. Applicants must have (or expect to have at time of appointment) a Ph.D. in chemical engineering, physics, chemistry, or materials science
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encouraged to apply. We are interested in candidates who have an interest in: *Advanced Manufacturing and Integration of Scalable Structures *Soft and Living Materials *Natural and Engineered Materials
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appropriate. Salary range: PDRA: $65,000 – $70,000/year and ARS: $73,700 – $79,000/year. Essential qualifications: A doctoral degree in physics, optical engineering, electrical engineering, biophysics
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: 285642180 Postdoctoral Research Associate Location: Princeton, New Jersey Salary Range or Pay Grade: $67,600 Description The School of Engineering and Applied Science at Princeton University seeks
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science and engineering applied to stakeholder-relevant issues. The scientists will collaborate with Princeton and NOAA/GFDL researchers to expand the reach of GFDL's model data (both historical and future
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experience in computer science, computational biology, biological or chemical engineering, chemistry, biochemistry, or a related field. Qualified candidates who pass an initial screening may be provided with
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University is seeking a full-time Postdoctoral Research Associate. The Atkinson lab focuses on using protein engineering and synthetic biology approaches to control gene expression and metabolism in cells