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on its more than 500-year-long tradition, it offers a broad spectrum that covers all areas of knowledge within its 18 Faculties, ranging from the humanities, law, economics and social sciences, to medicine
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The Faculty of Engineering Sciences and the Institute of Computer Engineering (ZITI) at Heidelberg University invite applications for a Full Professorship (W3) in “Chip Design” (f/m/d) This tenured
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Biology, Computer Science or related studies) Experience in Python with PyTorch (or equivalent) programming Experience in sequencing data analysis Basic knowledge in machine learning Experience with linux
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very good Master’s degree in Computer Science, Medical Informatics, Business Informatics or a related field. Practical experience as a full-stack developer for cloud-native and/or on-premise applications
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diploma or master’s degree specializing in Automation Engineering, Computer Engineering, Control Engineering, or Electrical Engineering. You already have knowledge in the field of automation engineering
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information technology study background with high interest in technical applications (computer science, computational linguistics) Experience in LCA Fluent written and spoken English Our Offer: We work on the very latest
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novel machine learning-guided approaches. The position is located at TUM Campus Heilbronn. Your qualifications Strong background in computer science, AI, or related areas or similar fields. Solid
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technology with potentially significant impacts on numerous industrial sectors. At Fraunhofer IKS, we engage in a variety of projects aimed at developing robust and reliable applications of quantum computing
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of Germany’s leading institutes of technology and offers an inspiring work environment with a wide range of research and teaching opportunities in state-of-the-art facilities. The 3,800 members of our academic
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Research into innovative manufacturing processes Design, construction and validation of test stands What you bring to the table Master studies in mechanical engineering, process engineering or comparable