45 post-doc-image-engineering-computer-vision Postdoctoral research jobs at Northeastern University in United States
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are separate from the natural world – upon an increasingly dominant paradigm in environmental science – social ecological systems, which acknowledges that human social systems are part of natural ecosystems
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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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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: 26-May-25 Location: Boston, Massachusetts Type: Full-time Categories: Academic/Faculty Physical Sciences Internal
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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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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 12-Jul-25 Location: Boston, Massachusetts Type: Full-time Categories: Research - Laboratory/Non-Laboratory Staff
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of the nematode C. elegans. Our lab integrates genetics, live imaging, quantitative analysis, and computational approaches to uncover the molecular mechanisms regulating aging and longevity. Key Responsibilities
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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
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engineering, or a related field by the time of starting this position. Significant background in chemical synthesis and characterization techniques (e.g., NMR, IR, and X-ray Diffraction). Ability to work both
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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