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! Education Master's degree (Bac+5) in telecommunications, computer science, or a related field, with an interest in AI, cognitive networks, or connected vehicles. Experience and skills Prior experience with
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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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collegial Department (29 faculty) that nucleates a larger interactive community (nearly 100 faculty). We support an exceptional Graduate Training Program, host two training grants, a robust weekly seminar
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science and microscopy. The preferred starting date is 1 November. A stimulating research environment at Campus Groenenborger, equipped with state-of-the-art instrumentation and computing facilities
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Research
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Research Training Group
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, Mathematics and Computer Science (EEMCS). We work on next-generation power electronics, energy systems for smart grids, advanced battery electronics and management, power devices, power and energy measurements
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations
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will be embedded within the research programme Marketing at the Faculty of Economics and Business (FEB). The project will be supervised by Marijke Leliveld and Kim Poldner. The ideal candidate is highly
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, researchers, patients and activists have formed around environmental sustainability in healthcare; in many instances these span multiple professional groups and organisations. Further research is now needed to