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, probabilistic modelling, machine learning and computational approaches in biodiversity science. The student will be will be supervised by Aelys Humphreys (Stockholm University) and work closely with
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, probabilistic modelling, machine learning and computational approaches in biodiversity science. The student will be will be supervised by Aelys Humphreys (Stockholm University) and work closely with
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biostratigraphy, Quaternary Arctic palaeoceanography, marine sediment sampling methods and geochemical analysis within a network of international collaborators. AI/Machine learning approaches are also possible
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