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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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We work on the very latest issues that impact our research field and society, and offer the chance to help shape their future! We support you with: Meaningful tasks: A world-leading, interdisciplinary and international research environment, providing state-of-the-art experimental equipment and...
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://www.microman4health.eu/ ). The described open position has the topic “EDM Machining-State Analysis from Discharge Signal Data” and is supervised by Prof. Dr. Andreas Schubert. This network focuses on developing data
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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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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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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
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We work on highly topical, socially relevant issues and offer you the opportunity to actively shape change! You can expect a wide range of opportunities: Meaningful tasks: The opportunity to conduct exciting research in an international and multidisciplinary environment with outstanding...
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failure modes of electrical machines and their effects on vibration behavior are simulated. To this end, you will first adapt existing finite element models (FE) to represent mechanical faults. You will
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for a Professorship (W2) (5 years/tenure track) of Statistical and Machine Learning in the Life Sciences, combined with the lead of a research group Computational Statistics & Dynamical Systems for Life
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methods for the animation of 3D human avatars using Python and Pytorch Capturing of training data using Motion Capture Systems Setting up and evaluating experiments on machine learning model performance