68 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" uni jobs at Technical University of Munich
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more than 12 months in the 36 months immediately before the recruitment date. Nationality: Open to all nationalities. Doctoral Programme Enrolment: You must be willing to enrol in a doctoral programme at the
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: The successful applicant must have the following: • PhD degree in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or related fields • Experience in
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Learning algorithms for EDA in terms of Computational Complexity, Performance Scores, etc. To learn more about our previous work, please check out our website ( www.cda.cit.tum.de/research/machine_learning
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technologies and develop algorithms and software tools dedicated to accelerating research on multiple levels. We are working at the intersection of computer science, physics, and material science to push the
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automate crucial design steps. In addition, we are developing simulators (on various abstraction levels; using, e.g., Computational Fluid Dynamics) which enables us to validate designs of microfluidic
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simulators (on various abstraction levels using, e.g., Computational Fluid Dynamics) which enables us to verify designs of microfluidic devices even before the first prototype is fabricated. Fabrication: We
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computer science, electrical or mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline Advanced software development and data analytics skills Hands-on mentality with
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science or related fields (Science: Biology, Computer Science, Data Science, Agricultural Economics etc.; Engineering: Mechanical, Electrical, Bionics, etc.) 3. Programming knowledge for AI, robotics, and