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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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data-driven, computational approaches. Successful candidates will be willing and able to work across a breadth of disciplines - from genomics to computer science, sociology to psychology, engineering to
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will have the opportunity to work closely with our engineers and other research staff. Projects may include software package creation and maintenance, data engineering, development and/or implementation
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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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to validate predictions made by their machine-learning models and drive wet-lab discoveries. The candidate may also have opportunities to work with research software engineers to translate their research
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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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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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the relationship between technology and society. The priority areas of our center include (1) AI, Data Science and Society, (2) Privacy and Security, and (3) Platforms and Digital Infrastructure. CITP tightly
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to apply and further develop their technical skills in a dynamic research environment. The successful candidate will have the opportunity to work closely with our engineers and other research staff. Projects