45 phd-position-in-library-and-information-science Postdoctoral positions at Northeastern University
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biomedical imaging system to assist in the diagnosis of widespread diseases, including cancer. QUALIFICATIONS: PhD in Electrical Engineering, Applied Physics, Physics, or a relevant field. Demonstrated
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About the Opportunity SUMMARY The research group of Dapeng "Max" Bi at Northeastern University in Boston, MA, USA, is seeking highly motivated candidates for multiple postdoctoral positions. We
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rolling basis until the position(s) are filled. Position Type Research Additional Information Northeastern University considers factors such as candidate work experience, education and skills when extending
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associate will participate in project team meetings and other seminars and will be actively engaged in the progress of research. * This position is a fully remote opportunity and there will be no requirement
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. Mona Minkara Funding: NIH MIRA (R35) Grant Position Summary: The Computational Modeling for Biointerface Engineering (COMBINE) Lab at Northeastern University is seeking a Postdoctoral Research Associate
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a network perspective. The ideal candidate has working experience in network science/bioinformatics and ML/AI/DL. Position Type Research Additional Information Northeastern University considers
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About the Opportunity Job Summary A Postdoctoral Research Associate position is available in the Saavedra lab in the Department of Biology at Northeastern University in Boston, MA. The lab is
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conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems
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on performance. Materials will be reviewed immediately and will continue until positions are filled. Position Type Research Additional Information Northeastern University considers factors such as candidate work
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of computational materials discovery starting in Summer 2025 . Our group is seeking to discover novel materials for renewable energy applications using high-throughput quantum chemistry calculations and data-driven