65 phd-in-computer-vision Postdoctoral positions at Northeastern University in United States
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of statistical physics, information theory, and computational modeling. RESPONSIBILITIES The Postdoctoral Research Associate will perform basic or applied research of a limited scope, primarily using existing
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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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, that will work halftime with the NU Public Evaluation Lab (NU-PEL) on the evaluation of the Boston Area Youth Direct Cash Transfer (BAY-CASH) program and half-time with Dr. Jonathan Zaff on a research
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About the Opportunity Job Summary The Copos Group works on computational and mathematical theoretical models with direct applications to several open problems in cell biology. We are specifically
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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
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, education and skills when extending an offer. Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance
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for publication ● Pursuing independent research projects in conjunction with the focus of the labs Qualifications ● PhD in a field falling within the social, behavioral, cognitive, and/or environmental sciences
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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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for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https
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. One or more of the following is a plus: experience with Chlamydomonas reinhardtii or Arabidopsis thaliana, photosynthesis, high-throughput genetics, computational data analysis, and fluorescence