102 computer-science-programming-languages-"the"-"U"-"O.P"-"RAEGE-Az"-"IDAEA-CSIC" positions at Technical University of Munich
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and present at international conferences Required Qualifications Master’s degree in computer science, or a closely related field Strong programming skills in Python and experience with deep learning
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private domains. Our team combines cutting-edge computational techniques with traditional social science methods and we are equally interested in methodological innovation and in the broader consequences
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publications at top venues in robotics, computer vision, machine learning, or a relevant field); Excellent communication skills in English and ability to work in a dynamic team environment; Previous experience
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Requirements: Applicants should hold an MSc or Diploma in Engineering, Computer Science or a related discipline. Background in Machine Learning and Artificial Intelligence. Strong programming skills (Python
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Qualifications: MSc or PhD in Computer Science, Bioinformatics, Computational Biology, or a related quantitative field. Solid experience in programming and system architecture design (e.g., Python), workflow
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independent and creative research; Solid programming experience in C++ and/or Python, and familiarity with modern robot learning frameworks; Proven expertise in one or more of the following areas: robot
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04.11.2025, Wissenschaftliches Personal We are looking for a full-time employee to join our team working on the EUROfusion project, starting on January 1, 2026 as Scientific Advisor to the Program
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participate in the Doctoral Program of the TUM School of Management • Support and collaborate on third-party funded research projects Your profile... • Completed (or close to completing) a Master’s degree or
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mathematics, physics). For Postdoc applicants: Excellent track record in computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming language, e.g
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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