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Requirements: excellent university degree (master or comparable) in computer engineering or electrical engineering a strong background in digital design, hardware description languages (e.g. Verilog, VHDL
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are collaborating in ScaDS.AI on advancing a broad spectrum of AI. The spectrum of available topics ranges from core areas of AI Theory, Hardware, Mathematic foundations, AI applications to societal aspects of AI
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methods be combined? AI Compute Paradigms: How will future AI hardware look and how will it be used? Intelligent Medical Devices: How can AI advance cybermedical systems? AI Methods for Health: How can AI
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for future researchers. Thematically, CAUSE covers all levels of digital systems, from system-of-systems over software stacks to digital hardware. PhD students in CAUSE will cooperate closely to investigate