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positively Experience with multimodal learning, representation learning, self-supervised learning, or foundation models. Experience with geospatial, remote sensing, and citizen science datasets. Experience
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20th October 2026 Languages English English English The Department of Biology has a vacancy for a PhD Candidate in Modelling Marine Larval Dispersal and Spatial Population Genetics and Demography
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applied to geospatial or geotechnical data, including model training, validation, and uncertainty quantification. Proficiency in programming languages such as Python, with experience in scientific computing
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