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Infrastructure? No Offer Description The postdoctoral researcher will contribute to the ANR-funded Pi-CANTHERM project, which aims to design, model, and predict the performance of new n‑type organic thermoelectric
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operate in research environments oriented toward sustainability and impact. The selected researchers will contribute to both experimental and modeling activities involving sorption and condensation
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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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-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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Université Grenoble Alpes, laboratoire TIMC, équipe GMCAO | Grenoble, Rhone Alpes | France | 11 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 1 hour 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