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into the communication system, documentation and testing of IP cores What you bring to the table Full-time students of electrical engineering, computer science or similar field with good to very good grades Professional
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and work in an international team of experts from different disciplines such as proton therapy, computer science, applied mathematics, detector physics and medical physics. We are currently looking
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The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 32 000
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The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 32 000
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or scientific work. What you bring to the table Interest and good knowledge in computer science, mathematics, or engineering Good knowledge in modern software development and programming with Python or comparable
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of code Coordination with process engineers and team members What you bring to the table Studies in applied computer science, physics or comparable field of study Experience with object-oriented programming
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-responsible scientific research Good language skills in English Communication and cooperation skills. Especially suitable for students with the field of study in computer science, mathematics or similar areas
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The particular strength of the Fraunhofer Institute for Electronic Nano Systems ENAS lies in the development of smart systems for various applications. The systems combine electronic components, micro and nano sensors, and actuators with interfaces for communication. Fraunhofer ENAS develops...
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possibility of a doctorate. What you bring to the table Master's degree in computer science, mathematics, physics, electrical engineering, or similar fields Excellent programming skills and meticulous work
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Future. Discover. Together. The "Explainable Artificial Intelligence" (XAI) group focuses on the development of powerful methods, and the analysis of aspects of interpretability and explainability in machine learning. A core research of the group is the intersection of explainability, fairness...