87 electrical-machine-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in Germany
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of trustworthy, scalable, and interoperable AI solutions for the operation and management of modern electricity networks. We are currently seeking a Ph.D. student to research the following topics: Development
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machine learning, medical imaging, and security venues and journals. Your profile Master's degree in computer science, physics, electrical engineering, mathematics, or a related quantitative discipline
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-cell imaging, multi-omics profiling such as transcriptomics, proteomics, and metabolomics, single-cell and spatial analyses, multiplex biomarker quantification, functional studies, machine learning
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Learning at TUM works on machine learning, artificial intelligence, and information processing, with a current focus on foundation models, data-centric research, and applications to scientific and medical
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users applying our methods. We want you to understand what they need, identify where current workflows fail them, and build better ones. This position comes with unusual freedom and ownership. We want you
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In this position, you will join our Simulation and Data Lab for AI and Machine Learning for Remote Sensing . The lab advances interdisciplinary research and operational services by combining
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The transition to a climate-neutral energy system requires safe, sustainable, and cost-effective technologies for long-duration electricity storage. Rechargeable iron–air batteries are attracting
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contribute to current challenges in biology and medicine Candidates with a strong ambition to contribute to and shape excellent scientific research We offer international working environment with communication
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profile is shaped in particular by five high-profile areas. About Minds, Media, Machines Minds, Media, Machines (MMM) is one of the five interdisciplinary, high-profile areas that largely define
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Max-Planck-Institut für Kohlenforschung, Mülheim an der Ruhr | M lheim an der Ruhr, Nordrhein Westfalen | Germany | 10 days ago
combines experiments, quantum chemistry, and spectroscopy to study reaction mechanisms and to discover how solvation and catalyst design affect the rate and selectivity. Current projects focus on developing