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in the training data and can naturally arrive during deployment (i.e., a distribution shift), increasing the risk of obtaining wrong predictions. Consequently, OoD samples detection is crucial in
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key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff. General information: Contract Type: Fixed
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JOIN US, TO DO WHAT? Contributing to technological innovation for clean and safe energy, health and well-being, sustainable transportation, information and communications, space exploration, safety and
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ambitious research aligned with the university's strategic priorities, including cancer research, neurosciences, data-driven health sciences and digital medicine. The ideal candidate has a medical background