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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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causal inference methods (e.g., directed acyclic graphs) would be an asset Fluent in reading, writing, and speaking scientific English Required Skills : Experience in data management and analysis of cohort
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POSTDOC (M/F) - Modeling and Analysis of Prospective Scenarios for Hydrogen in France and Germany The use of hydrogen produced by electrolysis, along with its derivatives (such as synthetic methanol and synthetic kerosene), is one of the solutions envisioned to decarbonise certain sectors such...
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, H.E.S.S., CTAO, KM3NeT, Jem-EUSO, theory). This position is funded by the European program OSCARS (Open Science Cluster's Action for Research & Society). It involves 5 science clusters of research
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., computational, mathematical, or mechanistic modeling) is essential. The candidate should demonstrate the ability to critically evaluate scientific literature, integrate experimental data into models, and
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they interact in a bipartite network and with abiotic environmental changes - mathematical developments - coding - tests with simulations - data analyses - paper writing - presenting results
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27 Aug 2025 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Mathematics History » History of science Researcher Profile
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avian influenza epidemic. The postdoc will publish their work in peer-reviewed journals and present at conferences. - Bioinformatics - Data analysis - Statistical and mathematical modeling
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signal/image processing, computer science, applied mathematics, or a related field, obtained less than 3 years before the date of hire. Essential skills, knowledge and experience: Excellent command
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in feminist theories and intersectional approaches to power relations at work. • Interest in participatory research and radical feminist epistemologies. • Proficiency in qualitative data collection and