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Reinforcement Learning Applications Your qualifications You hold a Master’s degree in computer science, computer engineering, or you have completed courses with a minimum of 240 credits, at least 60 of which must
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engineers with many years of experience in the techniques used in the lab, as well as a PhD student and a research assistant. Within the group there are also several clinical PhD students and senior
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optimisation, and especially techniques using duality and decomposition. Current application areas are within medicine, healthcare, systems engineering, logistics, and transportation. At Linköping University
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are within medicine, healthcare, systems engineering, logistics, and transportation. At Linköping University, mathematical optimisation is taught in almost all engineering programmes, and we offer a wide range
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departments of the university, for example, at the Medical Faculty and the Faculty of Engineering. We have been successful in attracting external research funding and several faculty members lead or are
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at other departments of the university, for example, at the Medical Faculty and the Faculty of Engineering. We have been successful in attracting external research funding and several faculty members lead or
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several engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se/en/organisation/liu/ida
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engineering programmes at bachelor’s and master’s levels, as well as the programmes in statistics, cognitive science and innovative programming. Read more at https://liu.se/en/organisation/liu/ida You will