186 parallel-computing-numerical-methods-"Prof" positions at Technical University of Munich in Germany
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, is essential. A very good Master’s degree in Biology or a closely related discipline is required. The project will be carried out in the group of Prof. Dr. Ralph Hückelhoven under co-supervision by Dr
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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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(WNVI) framework and aims to advance its capabilities in the following directions: • Scalability: Extending methods to high-dimensional and three-dimensional elastography problems using neural operator
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for safety-critical bilateral teleoperation. The research will leverage a combination of passivity-based control methods and machine learning techniques to enable reliable and robust teleoperation in uncertain
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technical alignment in the three use cases. The PhD candidate will be able to carry out a dissertation project within the framework of LLMs governance supervised by Prof. Dr. Urs Gasser (TUM). Eligibility
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general. The successful candidate will join the newly established Heisenberg group “Evolution of chemical communication” (PD Dr. Jan Buellesbach) at the Plant-Insect Interactions group (Prof. Sara D
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(WNVI) framework and aims to advance its capabilities in the following directions: • Scalability: Extending methods to high-dimensional and three-dimensional elastography problems using neural operator
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-cell data has its own statistical and computational challenges, and standard tools often cannot be applied. The purpose of the position and goal of the project is to develop and apply bioinformatic tools
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methods, machine learning algorithms, and prototypical systems controlling complex energy systems like buildings, electricity distribution grids and thermal systems for a sustainable future. These systems
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methods for the design, verification, and test of circuits and systems for conventional as well as alternative and post-CMOS computing technologies. Besides that, we have successfully applied the methods