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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 16 days ago
or almost completed) in Physics, Applied Mathematics, Complex System or a related field. Strong background in mathematical modeling, machine learning, or biophysical simulations. Demonstrated interest in
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Infrastructure? No Offer Description Mission: Provide support in the development of substitute models to incorporate them into musculoskeletal simulations and assist in motion capture within the framework
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or in combination with data from other sources. Projects can use other SAR data, including but not limited to NISAR-simulated data sets from the UAVSAR sensor (https://uavsar.jpl.nasa.gov/cgi-bin/data.pl
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 18 days ago
to intertwine a multi-contact whole-body controller, a digital simulation of the interacting humans, and machine learning models to predict and respond to human movements and intentions. In a crescendo of
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Posted by Kate Stuart on Wednesday, March 18, 2026 in Job Opportunities . Recent studies from the lab (https://cruchagalab.wustl.edu/ ) have demonstrated that circular RNAs
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Information on being a postdoc at Washington University in St. Louis can be found at http://postdoc.wustl.edu/prospective-postdocs . Interested candidates should send a cover letter and a copy of the CV
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supporting all aspects of the learning environment Prepare the simulation environment to represent the clinical setting Create moulage to model physiologic responses to the scenario events Maintain stock
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computing. This particular position focuses on time-series analysis and forecasting using transformer based foundation models. About the Project Time-series prediction using transformer based models is
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, to create a responsible and innovative university to serve as a model for the 21st century. Within ICN, the ChemSenSim group (https://lab.chemsensim.fr/ ) develops interdisciplinary research projects
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performance. To validate the achieved tuning range and functional performance in laboratory measurements against modeling and simulation results. This position is part of the MetaTune Doctoral Network