35 postdoc-computational-biomedical-engineering Postdoctoral research jobs at Northeastern University
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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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programs?our signature cooperative education program, as well as student research, service learning, and global learning?build the connections that enable students to transform their lives. The University
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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 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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to join the SoundMind Collaboratory and Brain Game Center for Mental Fitness and Well-being at Northeastern University. Together Seitz and Jaeggi have a broad research program that takes a lifespan approach
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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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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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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