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, organized, and conscientious approach to your work in the lab and on the computer, as well as proficiency with MS Office (Excel and PowerPoint) You have a proactive communication style A quick grasp of new
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technology, optics, mechatronics, computer engineering, or a related discipline. Strong motivation, scientific curiosity, and commitment to scientific excellence. Experience in one or more of the following
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communication networks and systems, as well as machine learning, computer vision, and digital video compression. Become part of our team and join us on a journey of research and innovation. Be part of change
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you join us? In the field of quantum technology, the institute is working on the realization of a quantum computer based on color centers in diamond. We use nitrogen-vacancy (NV) centers as qubits
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: to make the world of tomorrow safer. Be part of change Implementation and application of computer vision approaches, including: object detection (e.g., using YOLO, RT-DETRv2, etc.) image classification
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data • Design clinically meaningful benchmarks and robust evaluations • Publish at leading machine learning and medical AI venues • Collaborate with clinicians, computer scientists, and European partners
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Perception Group @ Microsoft Research Cambridge Chris Bishop | Tom Minka Statistical Laboratory Phil Dawid | Richard Samworth | David Spiegelhalter Computer Lab Sean Holden | Carl Henrik Ek | Ferenc
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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experience in cell culture is desirable but not mandatory Proficiency in data analysis and processing using standard computer software Ideally, strong communication skills in both German and English You enjoy
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(Erasmus+) Back Erasmus+ within Europe Erasmus+ worldwide Information for Back Prospective Students Current Students Staff Back Advice and help Computer and IT Staying healthy Communication and media Human