46 parallel-and-distributed-computing Postdoctoral positions at Technical University of Munich
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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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of Orthopaedics and Sports Orthopaedics and the Institute for AI and Informatics in Medicine. We work at the intersection of artificial intelligence, medical imaging, and clinical practice, developing methods
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writing. Drive the publication of research results in top-tier robotics conferences and journals. Requirements Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a
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-average doctoral degree (PhD or equivalent) in management, organizational psychology, sociology, economics, business informatics, or a related field, • With a solid knowledge of empirical research methods
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experimental and computational research in the areas of novel aviation and maritime propulsion (combustor design, thermo-acoustics, SAF, H2, ammonia) as well as hydrogen mixtures and refrigerant safety
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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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adults actively seek, select, and evaluate information to learn about the world. The lab combines behavioral, computational, and cross-cultural approaches to study curiosity, exploration, and reasoning
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We are seeking an outstanding candidate for a Postdoctoral position in the field of robot motion and control algorithms for soft material handling, starting immediately. We are looking for a highly qualified and motivated individual with a strong academic background in robotics and a keen...
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, and computation Excellent communication skills in spoken and written English Our offer Remuneration and benefits in accordance with the collective agreement for the public service (TV-L E13
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parameters are tuned so that the over-approximation of the computed reachable set is small enough to verify a given specification. We will demonstrate our approach not only on ARCH benchmarks, but also on