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Advanced manufacturing is central to sustainable automation with high-impact opportunities in both research and society. It involves complex physical and chemical processes that need to be executed with high
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Advanced manufacturing is central to sustainable automation with high-impact opportunities in both research and society. It involves complex physical and chemical processes that need to be executed with high
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Control Laboratory (IfA), we develop methods and tools to model, design, control and assess complex systems emerging in real-world applications such as the transportation network, control of autonomous and
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from complex interactions between microscopic degrees of freedom, which are challenging to identify and to decouple. One approach that has proven successful in decoupling the effect of different degrees
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Experience with large-scale storage infrastructure (from design to implementation, day-to-day operation and benchmarking) Hands-on experience in automating complex, repetitive tasks using Bash or Python
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or Higher Education Administration Appreciation of the dynamic complexity of the geopolitical landscape as well as deep understanding and both global and national overview of the higher education sector
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machine learning and deep learning, where you must be creative and motivated in searching and reading relevant literature, and developing novel models to tackle complex real-world problems in healthcare
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(amount of services run) and attract more travellers to match the ambitious targets from policy and environmental goals. One key aspect of traditional railway transport systems is the complexity of aspects
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research projects, ensuring seamless integration and efficient management of complex data sets. Data Integration and Analysis: Merging data from diverse sources to create cohesive, interoperable datasets
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have: at least a bachelor’s degree (or are close to its completion), interest in the field of foresight, strong analytical skills, experience carrying out research, synthesizing complex information and