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Future. Discover. Together. The Computer Vision & Graphics group of the Vision & Imaging Technologies (VIT) department is looking for a student assistant in the area of deep learning for scene
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position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Staff Scientist / PostDoc – Machine Learning for Scientific Applications You
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In addition to exciting tasks and a collegial working environment, we offer you much more: https://go.fzj.de/benefits Forschungszentrum Jülich is one of the largest research centers in Europe, with
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and at most 17 hours. Be part of change CAE modelling and numerical simulation (e.g. sheet metal forming processes using ABAQUS, etc) Develop data-driven and machine learning-based models to improve
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden W rttemberg | Germany | 3 months ago
throughout the Helmholtz Association. Within HI, the Applied Computer Vision Lab (ACVL) at DKFZ develops state-of-the-art methods for image analysis and machine learning, supports researchers in
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in the laboratory Document and evaluate experimental and simulation results Develop and validate machine learning and deep learning algorithms for photonic sensing applications What you contribute
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | about 2 months ago
for 4 years Software Developer / Computer Scientist (m/f/d) specialised in AI & Machine Learning, Ref. 421 to support the further development and commissioning of the Real-Time Control (RTC) system
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project entitled "Energy Storage as an Enabler of Sustainability through Optimization, Machine Learning, and High-Performance Computing," supported by the Dieter Schwarz Foundation through a Courageous
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of the Free University Berlin and other research institutions. The Digital Humanities team seeks to appoint a Student Assistant (m/f/d) with a focus on Machine Learning or Data Science, up to 19 hours per week
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part of a project entitled "Energy Storage as an Enabler of Sustainability through Optimization, Machine Learning, and High-Performance Computing," supported by the Dieter Schwarz Foundation through a