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of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service positions (TV-L E13, 100% for PhDs and TV-L E14, 100% for PostDocs; 45k
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, or machine learning is also appreciated. PhD: The candidate is expected to have some background in theoretical computer science, including some of the following areas: automata, logic, games, verification
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. Your qualifications An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning
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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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the faculties of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We
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graph processing frameworks, graph databases, graph learning frameworks, knowledge graph systems, and graph mining systems. While each of them is specialized on a specific type of task and is highly
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30.09.2019, Wissenschaftliches Personal The Chair of Robotics Science and Systems Intelligence (RSI) at the Technical University of Munich is looking for outstanding PhD/Postdoc applicants. About us
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University Munich (www.tum.de). Accordingly, we are currently searching for PhD Students and Postdocs to join our team! PhD Students For PhD students, we are looking for persons that are willing to learn and
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, • active involvement in several outreach activities and effective communication (i.e., knowledge transfer) of your research. We look for… • a team player with completed PhD degree (or close to completion) in
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, enrichment analyses - biological interpretation of data Your qualification - PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq