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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 2 months ago
institute of the Rennes University (IRMAR). The team expertise encompasses mathematical (stochastic) and numerical modelling of ocean flows, observational and physical oceanography, data assimilation and
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RAP opportunity at National Institute of Standards and Technology NIST Mathematical Modeling, Analysis, and Uncertainty Quantification Location Information Technology Laboratory, Applied and
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RAP opportunity at National Institute of Standards and Technology NIST Mathematical Models for Characterizing Pluripotent Stem Cell Populations Location Material Measurement Laboratory
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Position Description Postdoctoral Scholar Position in Applied Mathematics / Mathematical Physics and Electromagnetic (EM) Theory / Modeling Position Title: Postdoctoral Scholar Position in
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research focus on applied dynamical systems or mathematical biology. Preference will be given to those with proven expertise in modeling population dynamics, particularly involving stage-structured models
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closely with colleagues and students, you’ll apply mathematics to tackle societal challenges and bring new data-driven modelling, experiment, and computer-aided mathematics into education. We welcome
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discovery. This position targets researchers whose primary methodological contribution lies in artificial intelligence, machine learning, probabilistic modeling, or their mathematical foundations, rather than
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and students, you’ll apply mathematics to tackle societal challenges and bring new data-driven modelling, experiment, and computer-aided mathematics into education. We welcome applicants from all areas
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Join the School of Engineering Mathematics and Technology at the University of Bristol as a Postdoctoral Research Associate in genome-scale metabolic modelling for red blood cell engineering. This
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The role Join the School of Engineering Mathematics and Technology at the University of Bristol as a Postdoctoral Research Associate in genome-scale metabolic modelling for red blood cell