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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
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machine learning. • Experience with blackbox/zeroth-order methods and bilevel optimization is a plus. • Strong programming skills and a track record of research publications. Practical Information