45 computer-science-programming-languages-"the"-"UCL"-"O.P"-"Prof.-Dr"-"PDI-Service" positions at Technical University of Munich
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interoperability with Medical Informatics Initiative (MII)/FHIR standards Design and implement methodological concepts and software for benchmarking frameworks for AI evaluation Independently develop and implement
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guidelines into formal ontologies and knowledge graphs Design and develop modules for Medical Informatics Initiative (MII)/FHIR interoperability of the research prototype Work closely with clinicians and data
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degree or PhD in Computer Science, Electrical Engineering, Control Systems, or a closely related field. Experience in reachability analysis, formal verification/model checking, control theory, or related
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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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. Candidates must be eligible for TUM’s Doctoral Program and must not already hold a doctoral degree. Academic background: MSc in Industrial Engineering and Management, Robotics, Engineering, Systems Engineering
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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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academic assignments at the chair What we look for in you Completed master’s degree in computer science, transportation, or related engineering fields Solid background in generative AI, machine learning, and
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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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, data science, geoinformatics) - Proficiency in at least one programming language commonly used in the processing of research data (e.g., R, Python), and a solid understanding of ETL processes (Extract
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Engineering, or a related discipline. • Strong expertise in machine learning, spiking neural networks, and computer architecture. • Excellent programming and research skills. • Interest in translational