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Field
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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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funding activities in the field of research data management or software engineering Our requirements: University degree in computer science, chemistry, physics, mathematics or engineering, completed PhD in
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conferences Support the acquisition and execution of national and international research projects Hiermit bringen Sie sich ein PhD or Master’s degree in computer science or a related field Extensive knowledge
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Future. Discover. Together. The Fraunhofer Heinrich Hertz Institute (HHI) is one of the world's leading research institutes for mobile and stationary communication networks. Our photonic integrated circuits are used in sensor technology, medical technology and quantum cryptography. Photonics is...
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engineering, chemistry, mechanical engineering, or related field. You have expierience working in chemical laboratories. You are confident working independently and you are a good communicator. You are computer
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mechanical engineering, computer science, materials science or a comparable subject and fulfil the following requirements: • Motivation to explore scientific challenges • Previous experience with Comsol
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studying mechanical engineering, computer science, industrial engineering or a comparable subject Experience in the field of machine learning is an advantage A high degree of initiative and team spirit Very
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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