49 post-doc-in-wireless-communication-and-networks-2016 Postdoctoral positions at Technical University of Munich in Germany
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our enthusiastic and collaborative group spirit. Post-doc: The applicant is expected to have a solid publication record in theoretical CS. Experience with biological applications, robotics applications
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partners in Europe, the Argentinean National Research Council (CONICET) and the International Livestock Research Institute (ILRI), based in Kenya and their network of research partners. Your tasks will be
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09.06.2022, Wissenschaftliches Personal As part of an initiative by the community service foundation Dieter Schwarz Foundation (DSF), TUM created a teaching and research facility
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(Eye Tracking, Speech, and Vision) 2. Research in Eye-Tracking Technology and Smart Glasses 3. Human-Centered Generative AI 4. Human-AI Interaction Who We Are Looking For: We seek highly motivated and
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(MUCCnet: atmosphere.ei.tum.de ) Optimization of an urban sensor network configuration for greenhouse gas and air pollutant measurements using mathematical and physical assessments Analysis of ground-based
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- Post Doc Applicants Only: academic track record with publications at top-tier venues in computer vision, graphics, or machine learning (CVPR, ECCV/ICCV, Siggraph, Siggraph Asia, NeurIPS, ICML, ICLR) How
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very good communication and collaboration skills in an interdisciplinary and international setting. We offer: • The exciting opportunity to work in a world-class institute within an interdisciplinary and
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towards Habilitation qualification. We look forward to receiving your application as a single PDF file until the deadline of 1 September 2025. Please send your application exclusively by email to Prof. Dr
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. Please do not send any letter of recommendation with your initial application. Incomplete applications will not be considered. The application deadline is July 31, 2025. TUM is an equal opportunity
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focus on deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning