193 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" positions at Technical University of Munich in Germany
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electrification strategy, the research aims to develop a multidisciplinary framework that combines microstructure modeling, machine learning, and probabilistic simulation to link manufacturing parameters, foam
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management skills • Experience with qualitative or mixed-methods research • Familiarity with AI, machine learning, neurotechnology, or robotics research contexts • Interest in science policy, governance
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office.ethics@mh.tum.de https://get.med.tum.de/ www.tum.de If you apply in writing, we request that you submit only copies of official documents, as we cannot return your materials after completion
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dedication to experimental work in a chemical laboratory environment and computer programming. • Team player skills and enthusiasm to work in a multi-disciplinary and multi-cultural environment • Excellent
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application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: thesis.mhpc@ed.tum.de More Information https://www.epc.ed.tum.de/mhpc
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embedded into the quantum technology network formed by WMI, the Excellence Cluster MCQST (www.mcqst.de), the TU München (www.tum.de), Munich Quantum Valley (https://www.munich-quantum-valley.de/), and many
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mycological methods and Omics techniques preferable (particularly proteomics) • Good command of German and/or English required; willingness to learn either English or German is expected We are offering • A
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of the General Data Protection Regulation (GDPR) http://go.tum.de/554159 regarding the collection and processing of personal data in the context of your application. By submitting your application, you confirm
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Technologies at TUM’s School of Engineering and Design is looking for a doctoral researcher (f/m/d) in the area of Collaborative Machine Learning for the Energy Transition. You are passionate about machine
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22.03.2021, Academic staff The 3D AI Lab at the Technical University of Munich is looking for highly motivated PhD students and PostDocs at the intersection of computer vision, machine learning, and