64 postdoc-position-in-image-coding-"Multiple" Postdoctoral positions at Northeastern University
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, biomedicine, and other areas of societal importance. Coding and/or machine learning experiences are highly valued. Specific projects may involve developing multiscale simulation methods for quantum mechanical
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About the Opportunity Job Summary This postdoctoral position offers an opportunity to conduct leading-edge research in implementation of nature-based solutions for flood-risk reduction. This
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data and preparation of manuscripts. In addition, the postdoc will collaborate with the PI in the development and submission of new NSF proposals to extend this research. The position is for 1 year with
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About the Opportunity Job Summary The postdoc will work on an NSF funded project that explores local and regional variation in phenotypic plasticity in response to environmental stress in old field
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Number: 6719880 Postdoctoral Research Associate, Marine and Environmental Sciences About the Opportunity Job Summary This postdoctoral position offers an opportunity to conduct leading-edge research in
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publication record with multiple first-author papers at premier venues (CVPR, ICCV, ECCV, BMVC, NeurIPS, ICLR, PAMI, IJCV) within the past 3 years Deep expertise in video understanding, including current state
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closely with scholars in the humanities, historians, ethicists, legal scholars, and policy advocates. Within NetSI, our team collaborates with multiple research groups working on questions of public health
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) Laboratory management. Qualifications The ideal postdoc candidate must have a Ph.D. in plant science, molecular biology, or biochemistry and be able to undertake substantially full-time research. The candidate
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writing proposals and project management experience are pluses. Ability to communicate and coordinate with multiple senior researchers from different fields. Position Type Research Additional Information
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of the Postdoctoral Research Associate includes contributing to multiple projects including resilience-aware scheduling, deep learning workload job scheduling, and storage system performance tuning. The candidate will