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of possible methodological components include self-supervised temporal representation learning for large volumes of unlabeled AE/electrochemical time-series data, switching state-space models that describe
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-dimensional statistics, Gaussian approximations, time series, point processes, extreme value theory. The successful applicant will be a highly motivated researcher, capable of working both independently as
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: A good ability to develop and conduct high quality research. Teaching skills. Other qualifications Experience in several of the following areas: state models, time series analysis, computational
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/Robacksdalen https://www.slu.se/en/research/research-infrastructures/research-infrastructures-at-slu-open-to-external-users/robacksdalens-dairy-research-facility/ The postdoctoral fellows from this and the