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sciences, computer science, a related course of study or a field of study suitable for your specialization Enthusiasm for technological challenges and industry-related research projects Interest in
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right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning, and computer vision. The main focus is on semiconductor
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offered by the School of Engineering and Design and the School of Computation, Information and Technology. You will help us to prepare teaching material, serve as teaching assistant in our lectures, support
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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