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Field
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assays to quantify kinetics and selectivity under operationally relevant conditions; and multi-modal spectroscopy (e.g., UV–Vis, NMR, EPR and complementary methods) to characterize metal coordination
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to the TEMPREAD project, investigating the spatiotemporal and structural dynamics of reading networks using advanced neuroimaging methods. The position offers interdisciplinary training in behavioral, functional
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(subproject A1): This project aims to enhance smartphone-based survey methods as one component of future multi-method travel surveys, to achieve representative samples and travel estimates, to collect
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tackling the above challenges with novel system designs and tailored AI/ML based methods. Candidate’s profile A First Class Bachelors degree and/or Masters degree in a relevant subject (computer
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested developing new machine learning methods for precision medicine and
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of mobility networks, estimation of acceptance of mobility policies preparation of publications for submission to top-tier NLP, AI, or traffic engineering venues contribution to teaching and/or local BSc. /MSc
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will perform research on foreign-accented speech processing. Research methods include behavioural measures and electroencephalography (EEG), optionally eye-tracking. The Doctoral Candidate (DC) will be
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verifiability for AI systems, based at the Department of Computer and Information Science. These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Wallenberg AI
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. We will achieve this together by creating the first mathematical framework for explainable AI and developing new explanation methods. This will involve using tools from mathematical machine learning
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5 Sep 2025 Job Information Organisation/Company University of Luxembourg Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Country Luxembourg