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projects range from the analysis of basic cellular processes to clinical translation, from the application of novel biophysical approaches to the development of new imaging-related techniques and compounds
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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position is the development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. The research is embedded in the thematic context
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for policymakers. Within the Marie Skłodowska-Curie project MiningBrines, we use our skillset to help develop a sustainable brine mining whole strategy that extracts and valorizes renewable energy, energetic gases
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to circular economies. As part of this mission, we are offering PhD positions in the Simulation and Data Lab Digital Bioeconomy (SDL‑DBE). The SDL‑DBE develops and applies multiscale models, AI-enhanced
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transferable skills such as research management, communication, and career development. For further information, visit: https://www.mbnresearch.com/MS-RADAM/DC-research-projects Requirements Research Field
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such as research management, communication, and career development. For further information, visit: https://www.mbnresearch.com/MS-RADAM/DC-research-projects Requirements Research Field – Physics
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-operando Raman experiments on glass corrosion Developing and constructing fluid cells with integrated alpha radiation sources Performing post-mortem analyses (electron microscopy, e.g. EPMA, SEM, and X-ray
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of this PhD project located at the DESY NanoLab will be the structural and compositional evolution of electrocatalytically active nanoparticles such as Pt and Ir02 under oxygen and hydrogen evolution reaction
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to contribute to sustainable development. training future academic and professional leaders, qualified professionals’ involvement in the solution of development-related problems in Latin America graduates