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utilizes science and technical knowledge for the benefit of society and sustainable development. We undertake research, education, innovation, and scientific advice of the highest quality within building
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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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group at CIE. The aim of the position is to build strong knowledge and competencies within the field of electrochemical storage device design, simulation and testing. Job description You will conduct
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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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project, co-funded by the Innovation Fund Denmark and the Department of Management, Aarhus BSS, Aarhus University. Candidate profile We are seeking applicants with strong knowledge of data analytics and
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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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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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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