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as soon as possible at the Center for children and adolescent medicine in the WG „Deep molecular phenotyping of vascular disease in kidney disease, dialysis and after transplantation”. Project
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++, Python, and JavaScript languages, multi- and many-core SoC, RISC-V, hardware synthesis, hardware-software co-design, (meta-heuristic) optimization algorithms, machine learning frameworks, (bonus topics
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learning, as well as process-based models integrating thermal biology mechanisms. Funded by the ”Federal Ministry of Research, Technology and Space” (BMFTR), CSIDlab as part of the “Vector-borne disease
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learning, as well as process-based models integrating thermal biology mechanisms. Funded by the ”Federal Ministry of Research, Technology and Space” (BMFTR), CSIDlab as part of the “Vector-borne disease
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to learn in a team We offer: Excellent and innovative research environment State-of-the art laboratory infrastructure Collegial, interdisciplinary, and diversity-friendly international working environment