66 computer-engineer "https:" "https:" "https:" positions at Technical University of Munich
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very good master's degree in a topic-related field (computer science, automotive engineering, electrical engineering) Experience in scientific work, project acquisition as well as management experience
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21.12.2021, Academic staff The Department of Computer Science, Technical University of Munich, has a vacancy for a PhD candidate/researcher position in the area of efficient algorithms. The position
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13.04.2021, Academic staff The chair of Software Engineering for Business Information Systems (sebis) at the Technical University of Munich is looking for an excellent candidate for a paid PhD
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computers and the ones using them. We are working on a visionary and large-scale ERC Consolidator Grant Project and are a part of the Munich Quantum Valley-Initiative (https://www.munich-quantum-valley.de
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PhD/Postdoc position in trustworthy data-driven control and networked AI for rehabilitation robotics
for sustainability, new concepts for security and solutions for current latencies in communication networks. Find out more about the project under https://6g-life.de/ About us: At the Chair of Information-Oriented
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with the German Aerospace Center’s Remote Sensing Technology Institute, has created the biggest European research team on AI for Earth Observation (AI4EO) over the past few years. Starting in 2022, we will
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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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group in the field of artificial intelligence in Earth observation (AI4EO). It is in closely collaboration with the Department of EO Data Science, Remote Sensing Technology Institute of the German
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demonstration as proof-of-concept implementation in an experimental 6G testbed. Your qualifications MSc in Computer Science or Electrical Engineering Strong background in networking and systems with solid
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Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models, adversarial attacks, and