34 parallel-programming-"U" Postdoctoral positions at Technical University of Munich in Germany
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“Commended Paper Award” of the IFAC MIM conference. Prof. Otto actively engages in academic governance, serving as an editorial board member of leading scientific journals as well as a program committee member
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programming experience; apply by sending CV and transcripts to alanwar@tum.de About the Role: Join us to push the state of the art in formal verification and reachability analysis for discrete-space systems
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Documented expertise in developing and training machine learning models (ideally with a focus on LLM), high-performance computing, data management, and software architecture Strong Python programming skills
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-on experience with robotic hardware (e.g., robot arms, tactile sensors) Familiarity with model-based planning approaches, robot force/motion control, and reinforcement learning Proficiency in programming (C
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cell handling, differentiation, and organoid formation, while inte-grating automated imaging, quality control, and data analysis. A strong component of the work will be the programming and customization
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) Programming: Python, version control (Git), comfort with reproducible workflows/CI What we offer We offer a full-time position as an academic staff member and a central role in a DFG Research Unit at the
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for 3 - 6 years, with the option to enter the habilitation program in the format of 3 + 3 years. The salary will be determined according to the German collective wage agreement in public service (TV-L 13
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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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active learning is desirable, as well as knowledge of behavioral coding programs (e.g., Datavyu) and mastering of statistical methods and programming languages (e.g., R, Python). Experience with online
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Mathematics (analysis, numerics, modeling) or in a comparable program with a strong mathematical focus and knowledge in, for example, functional analysis as well as the theory and numerics of PDEs. Strong