66 assistant-and-professor-and-computer-and-science-and-data PhD positions in Luxembourg
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff. General information: Contract Type: Fixed Term Contract 36 Month Work Hours: Full Time 40.0 Hours per
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chemical biology help us address these interactions in health and disease? What molecular mechanisms drive neuroinflammation and axonal damage in multiple sclerosis? For more information, please visit our
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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30 Aug 2025 Job Information Organisation/Company University of Luxembourg Research Field Educational sciences » Education Researcher Profile First Stage Researcher (R1) Country Luxembourg
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Qualification: The candidate should possess a MSc. Degree or equivalent in Engineering, Computer Science, or related fields. Experience: The ideal candidate should have some knowledge and experience
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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infrastructure, and is currently expanding its research activities in exploring several emerging topics of next-generation communications and computing systems. For more details, you may refer to the following
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., economics, business, technology), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society. For more information, please visit our website: www.uni.lu/snt
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photopolymerization of the precursor. The practical work will be complemented by fluid mechanics computer simulations, including solutions employing machine learning, and theoretical analysis using Leslie-Ericksen