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for malaria and other neglected tropical diseases. This will be done by developing mathematical and statistical models, to describe the time course of drug concentrations and effect. You will work closely with
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with living bacteria and fungi cultures. Use the resulting data to build mathematical models of bacteria and nutrient transport. Report results in peer-reviewed publications. Work with a
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Models Basic Qualifications: A Ph.D. or equivalent degree in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field. Demonstrated strong
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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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collide, condense and evaporate. Guided by the results from the field campaigns, a new Microphysics Informed Large-Eddy-Simulation (MiLES) model will be developed. The tested and verified MiLES will be
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computational modeling, mathematical modeling, or experimental psychology. Profile We thrive on interdisciplinary collaboration. You should hold a PhD in musicology, computer science, cognitive science
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software engineers to develop, validate, and use new efficient and flexible model architectures involving Earth system models and fast-running model emulators; and be expected to work closely with the MIT
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24 Jun 2026 Job Information Organisation/Company CNRS Department Laboratoire de physique théorique Research Field Computer science Mathematics » Algorithms Researcher Profile Recognised Researcher
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models and their implementation (such as in FEniCS/FEniCSx and in Abaqus via user-element and user-material subroutines (UEL/UMAT)), preparing manuscripts for peer-reviewed journals and presenting results
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, observations, a hierarchy of numerical models, and machine-learning methods to understand their formation, dynamics, and predictability. The successful candidate will have substantial freedom to develop