134 computer-science-programming-languages-"Prof.-Dr"-"Prof.-Dr" positions at Technical University of Munich
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in production engineering issues and their investigation Enjoyment of supervising and programming technical systems Purposefulness and independent working style Creativity and willingness to experiment
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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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, including your letter of motivation, CV, and academic transcripts of records, preferably in English. Please indicate “SAW-OA-PoC Application” in the subject line. For any question, please contact: Prof. Dr
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methods in AI and machine learning, contributing directly to state-of-the-art research with high industrial relevance. Your Qualifications A strong background and Master's degree in Computer Science, AI
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• Experience in science communication and outreach • Experience in web & graphics design • Excellent communication skills • High level of competence in oral and written English • Intermediate level of competence
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and networking opportunities within the Munich AI ecosystem and within structured graduate programs: the Munich Centre for Machine Learning (MCML), the Munich Data Science Institute (MDSI), the local
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17.03.2025, Wissenschaftliches Personal We are searching for 5 Ph.D. students, and 2 Postdocs in Mechanical/NanoMaterials Engineering for an EU project, TV-L E13, full-time Phase change and
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% international students in the MA program. The visual computing lab embraces its diverse culture, and is proud to host PhD students from over 10 different countries. Our lab language is English. The position is
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/d) in Energy Informatics, specifically for a DFG project in wind power forecasting using machine learning. You are passionate about applying cutting-edge information technology to solve the energy and
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processing - Study actin-based processes critical for health and disease using the cryo-ET workflow, from cell sample preparation and optimization to imaging and data analysis - Use computational tools for in