212 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "Dr" "P" positions at Technical University of Munich
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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 for the analysis
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demands, wireless system deployment) as well as the digital world (such as networking, memory, computational resources for different applications). Information about the physical and digital world is
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document. Please send them under the subject ”PhD Biological Physics” by e-mail to Prof. Dr. Karen Alim (k.alim@tum.de) by 30.04.2022. She will also be happy to provide you with further information in
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one PDF document. Please send them under the subject ”Post-doc” by e-mail to Prof. Dr. Karen Alim (k.alim@tum.de) by 15.04.2022. She will also be happy to provide you with further information in advance
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13.02.2026, Academic staff The Imperial College London – Technical University Munich Joint Academy of Doctoral Studies (JADS) is a collaborative doctoral program. Within this program we offer a PhD
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16.08.2021, Academic staff For the BMBF funded International Future Lab “AI4EO” (https://ai4eo.de/) we are looking for a motivated Science Manager (m/f/d) ABOUT US The International Future Lab
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questions. The advertised positions will be part of the project “QS-Gauge: quantum simulation of lattice gauge theories”, funded by the Emmy Noether programme of the DFG. The project’s overarching goal is the
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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related field (e.g. battery technology, automotive engineering, electrical engineering) and have previously completed your master's degree in a technical field, such as mechanical engineering, computer
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(mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning, control) -Very good