50 phd-in-mathematical-modelling-population Postdoctoral positions at Northeastern University
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/Administrative Internal Number: 6791073 Postdoctoral Research Associate About the Opportunity The Postdoctoral Research Associate advances research in mathematical modeling, optimization, and stochastic analysis
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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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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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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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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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About the Opportunity The Postdoctoral Research Associate advances research in mathematical modeling, optimization, and stochastic analysis for large-scale and distributed systems. The role focuses
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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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research. Prepare and write research papers, presentations, grant proposals. Train Graduate Students. Qualifications: PhD in Computer Science or related field (completed or near completion) Strong
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research on the interface of high energy theory, general relativity and mathematical physics, focusing on celestial holography and related topics, including conformal field theory, AdS/CFT, amplitudes and
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Johansson. Professor Johansson works at the interface of research and operational public health using statistical and mathematical models to improve surveillance, prevention, and control of infectious