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in working with large data sets and the development of numerical models. Basic knowledge of glaciology or geodesy. Good expertise in programming, e.g. in Python, MATLAB, or other high-level programming
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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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. The trained Doctoral Candidates will be able to convert knowledge and ideas into new products, and services for economic and social benefit. DTU is a leading technical university globally recognized
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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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hardware description language such as Chisel, VDHL, or Verilog. Knowing Chisel is a bonus. Knowledge of real-time systems System programming in C You must have a two-year master's degree (120 ECTS points
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responsibility. The JRC provides independent, evidence-based knowledge and science, supporting EU policies to positively impact society. JRC’s Collaborative Doctoral Partnerships (CDP) is an initiative of the JRC
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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