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. Knowledge of health care systems, healthcare access inequalities, and health disparities, preferably within a Danish context. Experience with advanced statistical data analysis. Having experience with health
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a profound knowledge on the majority of the following topics: Robot control Reinforcement learning Simulation of robot dynamics Deployment of learning-based solutions Preferably, the candidate has
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Experience with VLSI design (Cadence tools, Verilog/VHDL, SPICE) Knowledge of neural networks and neuromorphic systems is a strong advantage Good programming skills (e.g., Python, MATLAB) and interest in
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scientific research and innovation. The Villum Young Investigator grant signifies a commitment to advancing knowledge and innovation in the field of Power-to-X systems. It provides a robust support structure
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which allows to acquire knowledge in new experimental techniques and quantum matter physics. We offer: • A PhD Student position in an ambitious and supportive, international research environment • A
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conducts research in critical technologies, which, due to the risk of unwanted knowledge transfer, are subject to a number of security measures. Therefore, based on information from open sources, background
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conducts research in critical technologies, which, due to the risk of unwanted knowledge transfer, are subject to a number of security measures. Therefore, based on information from open sources, background
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Electrical Engineering, Semiconductor Physics, Materials Science, or a related field. Basic knowledge of semiconductor device physics, preferably wide-bandgap materials (e.g., GaN). Experience or coursework in
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, regardless of personal background, to apply for the position. SDU conducts research in critical technologies, which, due to the risk of unwanted knowledge transfer, are subject to a number of security measures