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; they make sense to humans and are accessible to algorithmic techniques while neural models are adaptive and learnable. The aim of this project is to develop models which combine these advantages. The project
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well as assist the course responsible teacher with related tasks, as in grading hand-in assignments, question hours, course development and other administration depending on the actual needs. The teaching
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develop professionally and help shape your future with us. Our central location provides proximity to the city's offerings and good commuting opportunities. Welcome to the Faculty of Librarianship
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Networks (DAS)". The work includes: design and implementation of RL algorithms to address the challenges of peak load variations in district heating systems development and use of simulation models
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to have good knowledge of computer science, mathematics, algorithms, and programming. Knowledge and experience in artificial intelligence and machine learning is expected, but not required. Knowledge and
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genotype-phenotype correlations and understand disease biology. The long-term goal is to identify biomarkers and to develop personalized therapeutics in order to improve the quality of life for individuals
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control and reinforcement learning supported by an edge-cloud-based wireless communication environment. The doctoral student will work on data-driven theory and method development in simulation environments
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the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software
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control technology and computer algorithms to develop a foundational discovery platform for future cell programming applications. This position involves both experimental and computational work
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the Department of Information Technology website . At the Division of Systems and Control , we develop and analyze both theory and concrete tools to design systems that learn, reason, and act in