69 post-doc-image-engineering-computer-vision Postdoctoral positions at Northeastern University
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                of recommendation MINIMUM QUALIFICATIONS Candidates should have a Ph.D. in Physics, Mathematics, or Computer Science. A strong track record of research accomplishments in technical fields, ideally involving 
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                Coeruleus and cognition We seek to hire an interdisciplinary post-doctoral researcher in a joint project focused to understand fMRI of Aging with a focus on the Locus Coeruleus. This project involves a 
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                Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 16-Sep-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: 16-Sep-25 Location: Boston, Massachusetts Type: Full-time Categories: Research - Laboratory/Non-Laboratory Staff 
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                About the Opportunity The Department of Pharmaceutical Sciences within the Bouve College of Health Sciences, Northeastern University, is seeking one Postdoctoral Research Associate. The Post 
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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 
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                Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 11-Sep-25 Location: Boston, Massachusetts Type: Full-time Categories: Research - Laboratory/Non-Laboratory Staff 
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                Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 11-Sep-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Biological/Biomedical Sciences 
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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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                information. We develop novel theoretical approaches to characterize the structure and function of the genome using the tools of statistical physics, information theory, and computational modeling