38 modelling-and-simulation-postdoc Postdoctoral positions at Northeastern University
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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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on various theoretical aspects of molecular magnets, oxide coating materials for the LIGO scientific collaboration, and other quantum materials, and their modeling and simulation. Projects will include
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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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and conduct cutting-edge research on disease dynamics and epidemiological modeling. The candidate will develop and apply mathematical and computational models to understand the transmission, evolution
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About the Opportunity This job seeks a postdoc to work on one or more projects related to the development and assessment of wearable robotics. Possible projects topics include: Developing machine
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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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interdisciplinary research group that develops tools, theory, and models for complex systems. We use these tools to document—and fight against—emergent or systemic disparities across society, especially as they
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Associate to join the lab of Research Professor Michael Johansson. Professor Johansson works at the interface of research and operational public health using statistical and mathematical models to improve
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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
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Associate to join the lab of Research Professor Michael Johansson. Professor Johansson works at the interface of research and operational public health using statistical and mathematical models to improve