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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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Helmholtz-Zentrum für Infektionsforschung | Braunschweig, Niedersachsen | Germany | about 1 month ago
, the Helmholtz Centre for Infection Research, based in Braunschweig, conducts top-level research in the field of infectious diseases. Our scientists develop novel methods and strategies to fight infectious
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connect to our group’s work and how this position supports their career development goals. Possible research topics include (but are not limited to): Optimization algorithms for machine learning (stochastic
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of the AGNs). High motivation for working with simultaneous multi-frequency VLBI observations and achieving the full potential of VGOS observations is desired. Your responsibilities: Develop pipelines
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ERC-funded postdoc position in Drosophila lipid metabolism (m/f/d) Wanted for the next possible date at the Universitätsklinikum Heidelberg for the Nephrogenetics division. Heidelberg University
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timings) affect the metabolome and proteome of rapeseed seeds. Your findings will serve as molecular fingerprints to support Deep Learning models for hybrid development. Whom we are looking for: An early
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Stellenanzeige teilen wanted for the next possible date at the Department of Surgery, University Hospital Heidelberg for the Translational Pancreatic Cancer Research, AG Neoptolemos. Job-ID: V000014374 Field
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The RoLi Lab at the Max Planck Institute develops cutting-edge optical tools to study and control brain activity at cellular resolution in freely moving animals. We combine neuroscience, engineering
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19.09.2025 Application deadline: 14.11.2025 The Faculty of Social Sciences, Institute of Political Science, University of Tübingen is seeking to fill the following vacancy in the research cluster
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), located in central Berlin, is seeking a highly motivated postdoctoral researcher with a strong computational background to develop new methods for analyzing multimodal data from genetic and pharmacological