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personal data protection legislation to protect the data and privacy of employees, students, and partners. As the controller, ISPUP undertakes to process all data collected in the application process
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with chemical descriptors to enhance uncertainty robustness Building Uncertainty-Aware General Purpose Models Merge developments into a unified, efficient MLFF architecture Train MLFFs on large, diverse
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command of spoken and written French and English. S/he must display excellent teaching skills. S/he will commit to develop an original research programme likely to lead to a doctoral degree in Economics and
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work plan consists of determining the therapeutic potential of the secretome from preconditioned iMSCs in preclinical models of ischemic stroke induced by transient middle cerebral artery occlusion in
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costs and energy requirements of state-of-the-art deep learning models significantly, while democratizing them for a vast community of users, researchers, and practitioners. The task is to perform just
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directly on our real test vehicles (see image) for automated driving. Application of modern software engineering approaches (e.g., agile methods, model-based development, CI/CD pipelines) in concrete
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integrative part of sustainable and healthy diets. Development of analytical methods, digestion models, dietary modelling, and conducting consumer surveys will form part of the Doctoral Network’s tasks. The 12
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for quantized and pruned neural networks, creation of quantized and pruned demonstration models, reproduction of state of the art, experiments in heterogeneous quantization Depending on expertise
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Modeling and Geospatial Analysis. At least 2 years of postdoctoral experience in related research. Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre
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of analytical methods, digestion models, dietary modelling, and conducting consumer surveys will form part of the Doctoral Network’s tasks. The 12 PhD candidates will be based across seven different universities