224 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" positions at Technical University of Munich
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Engineering, Electrical Engineering, or a closely related field Proven research experience and publication track record in robotic manipulation, deformable object handling, or related domains Hands
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cancer. The job The technology of photoswitching-optoacoustics bears massive promise to visualize small cell populations and their functionality without background deep in the live animal (see Stiel, Nat
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a unique bridge between management and technology. The TUM Campus Heilbronn is a dynamic organization whose goal is to achieve excellence in research, teaching and impact. Your tasks: • Contribute
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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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production concepts shall be investigated. You should hold a MSc. or Dipl. degree in aerospace or mechanical engineering well above average and you should have experience in designing, building and testing
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: PhD in CS/ML/medical informatics, strong publication record, and hands-on experience with generative models in medical imaging. Postdoctoral Research Associate (f/m/d) EU Research Project TWIN-X Full
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, chemistry, materials science, or materials engineering, or a closely related field · Experience with cellulose and its processing technologies e.g. fiber spinning, extrusion, as well as characterization
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offered by the School of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare teaching material, serve as teaching assistant in our lectures, support
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04.05.2025, Academic staff We look for a motivated bioinformatician/computational scientist or postdoctoral candidate from the life sciences with experience in single-cell analyses who contributes
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master’s degree in mathematics, theoretical computer science, machine learning, or a closely related field. Strong background in discrete optimization, algorithms, or reinforcement learning. Good programming