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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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redefinition of behavioral features or pose challenges in their detection. The projects To address these challenges, we propose developing a Bayesian Program Synthesis (BPS) methodology for generating synthetic
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. Ability to work independently but also as part of a larger interdisciplinary research team. PhD in one of the following areas: infectious disease epidemiology, mathematics, statistics, physics, AI
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Virtual laboratory to predict the ability of a fluctuating biomass to satisfy a material use-VARIOUS
, the research will ideally be at the crossroads between computational mechanics of solids and materials science (physics, chemistry). Experience with interdisciplinarity would be desirable to ensure the success
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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the internal team on advanced spintronic applications. • Monitor emerging trends in MRAM, magnetic sensors, and neuromorphic computing to guide innovation. • File patents and help build Spin-Ion’s intellectual
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schools History News 2025 School Introduction Registration Program Committees Sponsors Contact Repository Lectures by topic Lectures by author Search lectures 2024 2023 2022 2021 2020 2019 2018 2017 2015
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master’s degree in mathematics, physics or informatics with a strong knowledge in machine learning. Skills: Coding in Python and/or R is required. Previous knowledge in archaeology and zoo-archaeology would
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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surgical procedures. This project aims to centralize and process, in real-time, the critical signals from the OR ("making the operating room speak"). To build a reliable and functional digital model, it is