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offers excellent researchers who have recently completed their PhD the chance to continue their research career at CTU. Fellows receive a two year fellowship and become members of a team led by a mentor
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, the CTU Global Postdoc Fellowship. This new and attractive two-year fellowship-program offers excellent researchers who have recently completed their PhD the chance to continue their research career
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continuous corrections during execution, and where learnings from prior actions performed on the same product or component are also leveraged.With the ambition to boost process adaptability, while assuring
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within the SAMS Research Group (http://sams.ics-cnrs.unistra.fr/en/ ). PROJECT DESCRIPTION: The post-doctoral researcher will show that by integrating molecular motors into supramolecular self-assemblies
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Polytechnique de Paris. The group conducts research at the intersection of statistical learning, machine learning, and data science, with a strong focus on structured data, representation learning, and
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reading groups. Foster an inclusive lab culture, promote collaboration, and encourage shared learning among team members. Secondary Responsibilities Occasionally guest lecture or assist with course material
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kinetic models and their hydrodynamic limits. Dispersive phenomena in kinetic theory. Quantum gases. Applicants must hold a PhD degree in mathematics, physics or a related field. We seek candidates with
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-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically
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offers excellent researchers who have recently completed their PhD the chance to continue their research career at CTU. Fellows receive a two year fellowship and become members of a team led by a mentor
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health