10 open-innovation "https:" "https:" "https:" "https:" "https:" uni jobs in Luxembourg
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image analysis workflows to support cutting-edge biomedical research Design, maintain and continuously improve reproducible image and cytometry data analysis pipelines using state-of-the-art open-source
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international research and innovation development. Based on this, UL has established in 2020 an Institute for Advanced Studies (IAS), which has four main missions: Leverage bold and interdisciplinary research
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interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and
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capabilities in surface water systems Design non-target workflows for the identification of ECs and potential TPs in wastewater Optimize these NT workflows for the continuous (>2 year) performance assessment
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character. The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy
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Computing (HPC) or cloud environments Open-minded critical thinker with strong organizational and analytical skills, capable of taking ownership of technical deliverables Language Skills: Excellent command
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interest in interdisciplinarity and in collaboration with other disciplines and non‑academic partners; commitment to knowledge transfer and public outreach Good IT skills, in particular for the conception
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excellence, open collaboration, innovation and results orientation across the Unit. Ensure a safe and healthy working environment by applying LIST’s health, safety and environmental requirements and ensuring
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research ethics and scientific rigor, committed to scientific integrity, free speech, critical thinking, and open inquiry At least 10 years of postdoctoral or equivalent experience in crypto and quantum
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candidate with: A PhD degree in Computer Science or a closely related field A research track record in Artificial Intelligence, with an emphasis on machine learning and an openness to interdisciplinary