63 parallel-and-distributed-computing-phd-"Meta"-"Meta" uni jobs at Technical University of Munich
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us as a full-time Research Associate / PhD candidate as part of the TUM GNI-funded research project VAULT-AI . Position overview Do you have a passion for digital construction technologies and enjoy
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references (include their name, their current positions and affiliations as well as their email address) - A maximum two-page statement outlining your interest in doing a PhD as well as your broader research
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/d) in Energy Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research
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: The successful applicant must have the following: • PhD degree in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or related fields • Experience in
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/d) in Energy Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research
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and collaborations with start-ups and spin-offs. Excellent training and career support, including courses and personal coaching. Opportunity to pursue a PhD (but not required). Your Qualifications A
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tools? This research area sits at the intersection of Human-Computer Interaction (HCI), Artificial Intelligence (AI), and Software Engineering (SE). The goal is to design and evaluate new interaction
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novel machine learning-guided approaches. The position is located at TUM Campus Heilbronn. Your qualifications Strong background in computer science, AI, or related areas or similar fields. Solid
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qualification - PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq analysis - interest in biological applications - passion for science
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PhD candidate to join our motivated team in this research area. Requirements • M.Sc. or Dipl. degree in mechanical engineering, electrical engineering, computer science or equivalent • Strong technical