45 post-doc-image-engineering-computer-vision Postdoctoral positions at Northeastern University
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graduate students, and collaborate with clinicians and other collaborators of the lab. MINIMUM QUALIFICATIONS The candidate should have a PhD degree in biomedical/electrical engineering, computer
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institute and would be encouraged to find ways to thrive and grow their own research program. This position is Boston-based and is available through grant funding that runs until August 31, 2026
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About the Opportunity SUMMARY Northeastern University invites applications from outstanding candidates to fill one or more Postdoctoral Research Associate (PRA) positions in computational quantum
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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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About the Opportunity There is an opening in Prof. Soner Sonmezoglu’s research group for a Postdoctoral Research Associate or Research Scientist with skills and/or interests in biomedical imaging
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limited to brain imaging (broadly defined), electrophysiology, genotyping, brain stimulation (tES, TMS), computational modeling and/or machine learning. For all our projects, we seek post-doctoral
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 26-May-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Physical Sciences Internal
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 12-Apr-25 Location: Boston, Massachusetts Type: Full-time Categories: Research - Laboratory/Non-Laboratory Staff
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undergraduate students. About our lab: The Zhao Lab in the Department of Chemical Engineering at Northeastern University is an interdisciplinary group working at the interface with computational chemistry
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using a variety of cognitive and cognitive neuroscience approaches (e.g. behavioral, psychophysical, neuropsychological, physiological, imaging, pharmacological, genetic, and computational methods