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algorithmic techniques, based on thermal Loop–Tree Duality, to enable large-scale multiloop computations at nonzero temperature and chemical potential. The project aims to overcome long-standing challenges in
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supervise theses particularly in the Bachelor’s Programme in Cultural Studies and the Master’s Programme in Cultural Heritage, as well as supervise doctoral theses and teach in the Doctoral Programme in
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program in one of FIMM’s research fields. The positions are targeted to researchers working at the interface of: • statistical methodology, • machine learning and artificial intelligence, • large
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the bachelor’s and master’s programmes in languages and the Doctoral Programme in the Humanities. The appointee will be responsible, alongside other teachers in the discipline, for advanced teaching in Russian
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(or equivalent experience) in mathematics, computer science, engineering, statistics, biology, medicine, or a related field. Experienced applicants with a bachelor's degree or similar can also be considered