2,002 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "INESC TEC" positions in Germany
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students. Programme duration 6 semesters Beginning Winter semester Application deadline 15 July Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree
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Shaping the technologies of tomorrow – that is our mission at the Fraunhofer Institute for Op-tronics, System Technologies, and Image Exploitation IOSB. We research, develop, and evaluate innovative imaging systems and ensure the optimal deployment and networking of sensors to efficiently...
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further both professionally and personally in an interdisciplinary setting. Position DWI is looking to fill the position as soon as possible: Research Scientist Machine Learning Engineer - AI-Powered Image
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-prüfung), German Electron Synchrotron (DESY Deutsches Elektronen-Synchroton), Hamburg University of Technology (TU Hamburg), Helmut Schmidt University of the German Federal Army (Helmut-Schmidt-Universität
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Finally, you will document and discuss the results What you contribute You are studying electrical engineering, materials science, materials engineering, or a comparable degree program and are interested in
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20.02.2026, Academic staff Are you passionate about using AI to solve the world’s most pressing challenges? Do you believe that technology should serve a higher purpose? Are you passionate about
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Singapore. PhD Program Structure PhD registration and degree awarding institution: RWTH Aachen University Duration: 3 years Research split: 2 years at the Institute of Materials Research and Engineering
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The Hamburg Centre for Ultrafast Imaging (CUI), Cluster of Excellence | Hamburg, Hamburg | Germany | 2 months ago
PhD Positions Application Deadline 4 Feb 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Part-time Is the job funded through the EU Research Framework Programme? Not
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of History and Ethics in Medicine, we advance ethical practice and theory in medicine, biomedical technology, and public health, driven by the belief that embedding ethics is essential for shaping the future
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages