285 postdoc-in-postdoc-in-automation-and-control Fellowship positions in United States
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through cutting-edge research. One full-time postdoc position is available at Dr. June Wha-Rhee and Dr. Yun Rose Li’s laboratory at Beckman Research Institute, City of Hope. The candidate will be jointly
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Position Description: According to the National Institute of Health (NIH) and the National Science Foundation (NSF), a postdoc is an individual who has received a doctoral degree (or equivalent) and
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Position Description: According to the National Institute of Health (NIH) and the National Science Foundation (NSF), a postdoc is an individual who has received a doctoral degree (or equivalent) and
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master’s and PhD diplomas in either Danish or English as well as other material documenting qualifications at postdoc level. Submitted PhD theses that have not yet been defended may be sent with
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-postdocs/fellowships/jill-hruby-fellowship/ If invited for interview, you will be assigned a Sandia mentor and required to submit a full research proposal prior to your interview Interviews are tentatively
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start date of September 1st, 2025. Questions: Please reach out to Dr. Idia Binitie Thurston, i.thurston@northeastern.edu and put '2025 CHANGE lab Postdoc' in the subject line. The following links
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with undergraduates, graduate students, postdocs, and professors in the two labs. Candidates with geoanalytical experience, including backgrounds in either cosmogenic nuclide geochemistry or XRF
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mine to magnet. What You Will Do: Use and develop minerals and materials databases for computed and measured properties. Predict and control mineral reaction pathways using first-principles
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, body composition by DEXA, energy expenditure of routine exercise, measurement of energy intake, assessments of cognitive function. Expectations: The Postdoc will be expected to complete research projects
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. This research will use cutting-edge techniques leveraging automation and high-throughput methods to generate high-quality and large datasets providing novel insights into improving predictability of in vitro