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design processes from RTL to GDSII ideally, experience in using Design-Flow-Tools (i.e. Xcelium, Genus, Innovus) and script languages (especially Python) and AI frameworks (i.e. TensorFlow, PyTorch
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collaborative team. A positive and appreciative institute culture that creates scope for creative thinking and innovative action a large network within the Fraunhofer-Gesellschaft. A company pension scheme (VBL
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MicroThera is a new working group in the field of Clinical Microbiome Research at the Fraunhofer-Institute for Translational Medicine and Pharmacology ITMP in Frankfurt (Main). This group encompasses a research platform focused on the development of microbiota-based therapies. We are interested...
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The Fraunhofer Institute for Manufacturing Technology and Advanced Materials (IFAM) is one of Europe's most important, independent research institutes in the fields of ‘Shaping and Functional Materials’ as well as ‘Adhesive Bonding Technology and Surfaces’. Research and development work is...
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At the Fraunhofer Institute for Applied Solid State Physics IAF, we know our technologies like the back of our hand. Because we are one of the few scientific institutions worldwide to conduct research along the entire semiconductor value chain and on tailor-made synthetic diamonds. Whether...
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At the Fraunhofer Institute for Laser Technology ILT, we have been shaping the future of laser technology for 40 years and are Europe's leading centre for contract research and development. We are currently looking for support for an innovative project in the field of laser powder bed fusion...
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At the Fraunhofer Institute for Laser Technology ILT, we have been shaping the future of laser technology for 40 years and are Europe's leading centre for contract research and development. We are currently looking for support in the field of laser powder bed fusion (LPBF) additive...
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, and/or numerical mathematics, as well as an excellent command of a programming language, preferably Python or C/C++. The candidate should have an interest in modeling and solving a complex, coupled
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engineering Very strong mathematical and algorithmic background Programming experience (Python, C++, etc.) Familiarity with parallel programming frameworks (e.g. MPI, CUDA) Fluent in written and spoken English
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degree in computer science, mechatronics, or electrical engineering. Strong programming skills (C/C++, Python; hardware description languages such as HLS or VHDL are an advantage). Knowledge of computer