833 data-"https:"-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions in Germany
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
11.02.2022, Wissenschaftliches Personal The Chair of Information-oriented Control (ITR) offers a PhD/PostDoc position within the 6G-life Research-Hub „Digital transformation and sovereignty
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As the German National Library of Science and Technology, our future-oriented services ensure the infrastructural requirements for a high-quality supply of information and literature for research in
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, including quantitative, qualitative, and experimental approaches. Ideally, experience with Python, Stata, or R. • demonstrates proficiency in data collection, processing, and analysis, preferably using
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supporting careful evaluation and organization of experimental data, preparation of figures/presentations for internal discussions and reports. Desirable: - Enrolled Bachelor or Master student in biochemistry
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across real-world, noisy, and dynamic data streams. In collaboration with Prof. Dr. Hilde Kühne, we will investigate large-scale data annotation strategies across billions of data points, facilitating
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research group “Machine Learning for Biomedical Data” led by Prof. Dominik Heider and is embedded in the DFG-funded Collaborative Research Centre 1748, Principles of Reproduction. The CRC 1748 involves
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classical information. Your project within the Bolotin research group will be to develop a new class of 2D material heterostructures with on-demand tunable chirality. To accomplish this, you will develop a
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research focus on collecting new data through excavations and survey campaigns in Germany, South-Eastern and Eastern Europe, and neighbouring regions of Eurasia, and on the scientific evaluation
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Robot Learning (ID: TUEILSY-POSTDOC20251219-RL) Robots that learn from data promise greater autonomy and performance, but their deployment in the real world hinges on the ability to guarantee safety
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. Application If you are interested in working with us, please send your documents by email to circulareconomy@cs.tum.de. For more Information, please do not hesitate to contact Prof. Dr. Magnus Fröhling