40 postdoc-computational-biomedical-engineering Postdoctoral positions at Northeastern University
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, innovative system designs, and advanced algorithms to shape the future of immersive experiences. QUALIFICATIONS: Ph.D. in Computer Science, Electrical Engineering, or related fields. Strong background in AR/VR
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are specifically looking for candidates who possess a strong background in theoretical and computational modeling of biological systems, soft matter, or statistical physics. The positions will commence in January
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://tanglab.sites.northeastern.edu/ Qualifications: Having a PhD degree from all science and engineering majors, especially Mechanical Engineering, Chemical Engineering, Physics, and Materials Science. Highly motivated. Having
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their importance, the majority cannot be genetically engineered, and even those that can are notoriously difficult to work with. The postdoctoral associate will develop fundamentally new approaches for genetically
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About the Opportunity The Postdoc will be working on multidisciplinary research projects in the Bendable Electronics and Sustainable Technologies (BEST) Group led by Prof. Ravinder Dahiya. BEST
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About the Opportunity Job Summary The Copos Group works on computational and mathematical theoretical models with direct applications to several open problems in cell biology. We are specifically
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program that takes a lifespan approach using a variety of cognitive and cognitive neuroscience approaches (e.g. behavioral, psychophysical, neuropsychological, physiological, imaging, pharmacological
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as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Summary: The Goodwill Computing Lab seeks a Postdoctoral Research Associate. The Goodwill Computer
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About the Opportunity Performs basic or applied research of varying scope and complexity. Assists in the planning, interpretation, and publication of research results and grants. Ensures the laboratory is maintained and may exercise functional supervision over supporting research staff. May...
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), psychophysics (in person and online), computational modeling, and machine learning to arbitrate among competing hypotheses about the neural mechanisms of conscious awareness. This project is part of