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Researcher will work in Professor Benjamin Peherstorfer’s group (https://cims.nyu.edu/~pehersto/ ) on scientific machine learning at the Courant Institute of Mathematical Sciences where they will help
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-to-impact pathway to answer research questions related to weather-related hazards to help communities nationwide. The postdoctoral associate will apply statistical and epidemiological models to examine the
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, mathematics, or a related field (PhD is advantageous) Experience with numerical modelling and analysis of large simulation datasets Knowledge of ocean biogeochemistry or Earth System Modelling Strong
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mathematics, computational physics, or a related discipline (PhD is advantageous) Experience with numerical modelling and analysis of large simulation datasets Knowledge of physical oceanography and experience
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1 Aug 2026 Job Information Organisation/Company CNRS Department Centre de biologie structurale Research Field Mathematics History » History of science Researcher Profile First Stage Researcher (R1
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solid working knowledge of matter models in general realtivity, in particular Vlasov matter, and you are willing to deepen your expertise in the mathematical and numerical methods relevant
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nationwide. The postdoctoral associate will apply statistical and epidemiological models to examine the mortality impacts of climate-related hazards and will translate results for policymakers and
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discrete-mathematical theory with mechanistic and interpretable models of molecular fragmentation processes. Strong programming skills in Python-based scientific computing, including NetworkX-style graph
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Preference will be given to candidates with strong background in machine learning and mathematical reasoning and experience in one or more of the following: Large Language Models (LLMs), multi-agent systems
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-computer interaction, social networks, fairness, and data ethics. Our research is rooted in basic research and centres on mathematical models of the physical and virtual world, as a basis for the analysis