79 engineering-engineering-"https:" "https:" "https:" "https:" "https:" "OSU" Postdoctoral positions at Northeastern University
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documentation, analyze quantitative physiologic data, and communicate findings in peer-reviewed publications; Ability to work collaboratively across clinical and engineering teams. Normally acquired through
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engineering Quantitatively analyze transport, partitioning, and binding kinetics in biological matrices Conduct and contribute to in vivo studies in musculoskeletal models Independently write and publish high
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career goals and interests using these datasets. This role and PINE Lab are part of the Center for Cognitive and Brain Health in the Interdisciplinary Science and Engineering Complex at Northeastern
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ecology, environmental forecasting and climate adaptation, fisheries and ecosystem-based management, ecological engineering and restoration, environmental sociology, and sustainability science. The
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Engineering, Chemistry, Materials Science, or a closely related field Knowledge of heterogeneous catalysis, reaction kinetics, thermodynamics, and structure–reactivity relationships Ability to design
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feedback in real and virtual agents will be a plus. The successful candidate must have a Ph.D. or equivalent degree in related engineering and science disciplines. The candidate must have progressively
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, presentations, and reports to the funding agency. Minimum Qualifications Required PhD in microbiology, biochemistry, chemical engineering, or a related field. Demonstrated publication record of scientific
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to detect this separation through model architecture in probabilistic temporal event dynamics. Required Qualifications: - PhD in computer science, engineering, biomedical data science, informatics
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biochemistry, genetics, microbiology, and cell biological approaches. For more information check the Saavedra lab website: https://www.saavedralab.com The successful candidate for this role will join a
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intelligence (AI). The successful candidate will join Prof. Francesco Restuccia’s research team (website: https://mentis.info) in Boston, Massachusetts, and work on cutting-edge topics in resilient AI