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- Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO
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-world medical applications? Do you want to design next-generation protein therapeutics using cutting-edge generative models and validate them in the lab? Join a collaborative postdoc project at DTU
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-of-the-art practical engineering models for predicting sand and particle transport struggle with the cross-shore processes (perpendicular to the beach), and they even have difficulties predicting the sign
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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 8 days ago
multi-expert segmentation databases. The postdoctoral fellow will focus on integrating segmentation variability into deep learning models, with the goal of assessing prediction reliability and enabling
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oceanography. The position is part of the EU-project EPOC (Explaining and Predicting the Ocean Conveyor) and will address Greenland-Scotland Ridge exchanges with a focus on Iceland-Faroe overflow and transport
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) is sought to join a large organ-chip research team within Queen Mary’s Centre for Predictive in vitro Models. This project, entitled, “Micro-manufacturing of tissue patterned organ-chips
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 8 hours ago
, based on recent geophysical and geochemical models, and experiments quantifying the stability of organic matter that was likely to be present in the building blocks of these worlds. Our group is
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execution time (WCET). The postdoc position focuses on compiler support for WCET analysis for time-predictable architectures such as Patmos/T-CREST. Furthermore, it is expected to join the development of a
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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assessment models and evaluate the nutritional quality of foods. Build risk-benefit assessment models to quantify and predict the health impacts of new food products. A central case study will explore
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 4 hours ago
of excellence for outbreak analytics and disease modeling, named Insight Net. This position’s efforts will focus on developing predictive and analytic models of infectious disease and will use dynamic models and