168 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation"-"St" Postdoctoral positions in Germany
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- Max Planck Institute for Astronomy, Arua, Uganda
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assemblies Developing experimental strategies, analyzing, documenting, and presenting data Coordinating and instruct, a practical course for BSc biochemistry students and supervise MSc students in the lab Your
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on quantitative evaluation metrics such as algorithmic fairness paradigms. Applicants should hold a PhD in philosophy, law, cultural anthropology, or (qualitative) social science. The positions are fixed-term (6
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on the data recorded in the team, you will develop and test machine learning algorithms for perovskite tandem solar cells' energy yield and degradation Data cleaning and preparation Assisting integration
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27.09.2025, Wissenschaftliches Personal We are seeking a PhD or Postdoctoral researcher to join the AI in Orthopaedics group (TUM & TUM University Hospital). The position focuses on developing
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of MIRMI. At the Geriatronics Research Center – part of MIRMI and located in Garmisch-Partenkirchen – we develop cutting-edge solutions to enhance quality of life in older age and improve the efficiency
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to identify genetic loci, transcripts, and proteins that underlie differences in brain aging between two killifish species, with the long-term goal of developing strategies to delay brain aging in humans
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to identify genetic loci, transcripts, and proteins that underlie differences in brain aging between two killifish species, with the long-term goal of developing strategies to delay brain aging in humans
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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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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 2 months ago
Job Code: 396 Job Offer from September 08, 2025 We invite applications for multiple postdoctoral fellowships at the Max Planck Institute for Astronomy in Heidelberg, Germany including independent
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sensor data, with applications in disease modeling and the development of material science-based innovations. These efforts aim to optimize system performance and uncover novel biological insights in close