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Risk Analysis Group at TUM and Prof. Maria Pina Limongelli at Politecnico di Milano, offering an excellent international research environment. About us The Engineering Risk Analysis Group at TUM
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/264ffa19ca70e3ec41032fe6a4802932b5eda4e6.pdf https://ieeexplore.ieee.org/document/10068193 Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically
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-Vorlage Professorship for Computer Architecture and Operating Systems (CAOS) TUM School of Computation, Information, and Technology Technische Universität München Neuromorphic AI Architectures for Edge
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08.10.2025, Wissenschaftliches Personal The University Hospital rechts der Isar (TUM) is seeking a Data Analyst / Data Scientist (m/f/d) in the field of Medical Informatics. The role involves
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activities. ________________________________________ Candidate Requirements ✅ PhD degree in Engineering, Computer Science, Systems & Control, Statistics, Computational Physics, Computational Chemistry
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& Technology and explore how emerging technologies (AR, VR, AI) shape decision-making. YOUR PROFILE - Excellent Master’s degree in human-computer interaction, game engineering, psychology, or computer science
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at Université de Lille (France). We are looking for candidates with an outstanding Master’s degree (or quivalent) in chemistry, polymer science, or a closely related discipline, with a strong interest in
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HN Team of Prof. Carsten Trinitis as well as of the Audi Data & AI Team (Dr.-Ing. Benjamin Hadwiger and Dr.-Ing. Florian Meyer) in Neckarsulm. Requirements • MSc in Computer Science, Electrical
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emerging technologies (AR, VR, AI) shape decision-making. YOUR PROFILE - Excellent Master’s degree in business, psychology, or computer science - Strong interest in marketing, psychology, new technologies
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Master's degree in Mathematics, Statistics, Operations Research, Industrial Engineering, Computer Science, Data Science or a related field Strong mathematical and analytical skills for model formulation