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Your Job: In this position, you will be an active part of our "Simulation and Data Lab Applied Machine Learning". Within national and European projects, you will drive the development of cutting
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21 Oct 2025 Job Information Organisation/Company University of Hamburg Department Department of Earth System Sciences Research Field Environmental science » Earth science Researcher Profile
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machine learning (data-driven modeling, machine-learned force fields (MLFF), structure-property relationships) for the evaluation of large data sets and to generate new research approaches. In teaching, the
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Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks
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environments) into a unified control system Testing, troubleshooting, and ensuring reliability of automated beamline operations under extended deployment conditions Design and implementation of data acquisition
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ECMWF - European Centre for Medium-Range Weather Forecasts | Bonn, Nordrhein Westfalen | Germany | about 1 month ago
8 Oct 2025 Job Information Organisation/Company ECMWF - European Centre for Medium-Range Weather Forecasts Research Field Computer science Environmental science Mathematics Environmental science
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will benefit from Fraunhofer IOSB’s specifically large variety of skills, covering the entire chain of optronics and sensor data evaluation and ranging to the engineering of secure and user-adequate
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description: AG Weinelt is searching for a postdoc in the field of Ultrafast Spin and Electron Dynamics, who is experienced in performing time-resolved X-ray spectroscopy experiments at large-scale facilities
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
English. Additional qualifications: It is advantageous to have experience in one or more of the following areas: Electron microscopy (environmental TEM and SEM) Large data image treatment Corrosion
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will have the opportunity to: Gain important insights into clinically relevant aspects of cancer development and therapy Perform state-of-the-art in vivo experiments and large-scale drug and genetic