14 engineering-computation "https:" Postdoctoral research jobs at Northeastern University
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collaborates with faculty, students, and external partners to translate rigorous methods into practical tools. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer
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medical device environments is highly valued. PhD in computer science, electrical engineering, biomedical engineering, cybersecurity, or a closely related field Strong record of peer-reviewed publications
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through peer-reviewed publications, presentations, and technical reports Write and contribute to research proposals, contracts, and technology transfer documents, supporting funding and commercialization
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existing and new computational methods to study multiscale processes in catalysis and photochemistry. Other projects that align with our general interest are also possible. Please see https://sdonglab.org
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to translate rigorous methods into practical tools. QUALIFICATIONS: Ph.D. in Applied Mathematics, Electrical & Computer Engineering, Computer Science, Industrial Engineering, or a closely related field by start
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graduate students, and collaborate with clinicians and other collaborators of the lab. MINIMUM QUALIFICATIONS The candidate should have a PhD degree in biomedical/electrical engineering, computer
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and collaborate effectively. Experience in healthcare and medical device environments is highly valued. ● PhD in computer science, electrical engineering, biomedical engineering, cybersecurity
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grants, and develop their ideas further towards academic independence. Qualifications PhD in Mechanical Engineering, Biomedical Engineering, Robotics, or similar. Position Type Research Additional
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About the Opportunity Job Summary The Distel Laboratory at Northeastern University's Marine Science Center seeks a postdoctoral researcher to take a leading role in a research program that
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such as mathematics, statistics, physics, computer science, engineering, epidemiology, or related disciplines; Strong background and experience in mathematical and computational modeling of infectious