64 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Northeastern University
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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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. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate chemical discoveries for renewable energy
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explores the interactions between wood-eating teredinid bivalves (commonly known as shipworms) and their intracellular bacterial endosymbionts. Shipworms offer an exceptional model system for studying
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endosymbionts. Shipworms offer an exceptional model system for studying symbiont acquisition and intracellular infection, as both the hosts and their symbionts can be cultured in the laboratory. Their symbionts
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computing and high-performance computing (HPC) environments. Interest in entrepreneurship, technology transfer, and translational research, particularly in AI-driven drug discovery and biotech startups
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The work heavily depends on data-driven, evidence-based modeling and collaboration with practitioners. The successful candidate will have completed a PhD (any discipline, required by start of appointment
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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
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/Administrative Internal Number: 6588332 Postdoctoral Research Associate About the Opportunity Job Summary The Data-Driven Renewables Research (D2R2) group led by Dr. Peter Schindler is accepting applications for a
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researcher to start as soon as possible. The research focus will be on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and to accelerate
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, is seeking highly motivated candidates for multiple postdoctoral positions. We are specifically looking for candidates who possess a strong background in theoretical and computational modeling