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convolutional neural networks (CNNs) trained on simulated data, enabling faster and more robust planet detection. 2) Developing a new CDI method using another modulation technique. This PhD will explore how
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: Power Systems - Cv Work Objectives: The candidate’s work will encompass scientific and technological research activities, including simulation, experimental validation, as well as the dissemination and
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Objectives: The candidate’s work will encompass scientific and technological research activities, including simulation, experimental validation, as well as the dissemination and publication of the obtained
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Frozen Turbulence Hypothesis, to estimate incoming turbulent flow. You will then assess the method’s validity under real atmospheric conditions using a combination of LiDAR data and Large Eddy Simulation
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of the Nicolaus Copernicus University) - Copy of doctorate certificate or statement about planned finalization of PhD (it's required to receive a PhD degree before starting the work) Forms to be downloaded: https
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LanguagesENGLISHLevelGood Research FieldPhysics Additional Information Selection process Documents required: - Personal questionnaire for the person applying for employment - Professional curriculum vitae - Copy of higher
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facteurs abiotiques, mécanismes d'adaptation…) qui peuvent confondre les résultats et aboutir à des faux positifs en termes de marqueur de stress biochimique. Une façon de contourner cette limite serait de
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 6 hours ago
assimilation Integration (JEDI) framework for atmospheric data assimilation Develop machine learning foundation models based on simulated observations from high fidelity atmospheric simulations for developing
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faciliter le transport de certains PFAS après épandage des PRO, un phénomène qui pourrait être exacerbé par la présence d'écoulements préférentiels dans les macropores du sol. Des simulations de pluies sur
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the effects of these factors at the tissue level. The position will also involve simulating and optimizing complex models that integrate biological and physical data using advanced methods, such as physics