52 phd-computational-"FEMTO-ST"-"FEMTO-ST" Postdoctoral positions at Northeastern University
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, is seeking highly motivated candidates for multiple postdoctoral positions. We are specifically looking for candidates who possess a strong background in theoretical and computational modeling
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About the Opportunity The Center for Drug Discovery, in association with the Bouve College of Health Sciences, Department of Pharmaceutical Sciences, Khoury School of Computer Sciences, and
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supporting research staff. Primary responsibility is ensuring that the research is complete. The appointment generally does not extend beyond two years. MINIMUM QUALIFICATIONS PhD in Biochemistry, Molecular
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, the college collaborates across the university, the Northeastern network, and partners around the globe. The Writing Program at Northeastern University, housed in the College of Social Sciences and Humanities
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disseminating results via conferences, talks, and first-author manuscripts. Experience in some of these methodologies is required. Qualifications: Applicants should have a PhD degree (or PhD candidates in
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previous experience; ability to write papers for peer-review on technical topics related to architectural design and machine learning and conduct grant research; as normally acquired through a PhD in
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junior-level researchers in the laboratory. Qualifications A PhD degree with a focus in pharmaceutics, pharmacokinetics, pharmacology, biomedical or chemical engineering, or other related field. Hands
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are specifically looking for candidates who possess a strong background in theoretical and computational modeling of biological systems, soft matter, or statistical physics. The positions will commence in January
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research program will execute use-inspired discovery with an entrepreneurial mindset that develops science and solutions that matter to society and impact the Maine economy. Postdocs will receive formal and
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postdoctoral research associate in the field of computational materials discovery starting in Summer 2025. Our group is seeking to discover novel materials for renewable energy applications using high-throughput