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translational medicine, improving diagnostics and healthcare solutions. For more information, please visit our page . Your role We are looking for a highly motivated PhD candidate interested in AI-based methods
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or other large-scale biological data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, focusing on single-cell
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the formal and functional properties of gestures and their relationship to discourse. - Support for computational modeling: o Contributing to the gesture–speech modeling carried out by Loria, based
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ICT Services & Applications. Your role The PhD position is part of the CART-4D project, a "Made in Luxembourg" collaboration between the University of Luxembourg and ARSPECTRA . The doctoral candidate
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revisited and new methods of cooperation with UTC's engineering departments developed. Teaching Depending on his/her skills and experience, he/she will be expected to contribute to existing teaching units
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engineering; Formal methods, models, and languages; Interactive and cognitive systems; Distributed systems, parallel computing, and networks. The successful candidate will work closely with teams specializing
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, suitable for deployment on ARSPECTRA devices. You will work at the interface between finite-element modelling, software engineering and embedded/edge computing. Key Responasbilities: Develop and optimise
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Description RESEARCHER PROFILE: Postdoc/R2: PhD holders RESEARCH FIELD(S)1: Environmental Science MAIN SUB RESEARCH FIELD OR DISCIPLINES1: Biological sciences, geography JOB /OFFER DESCRIPTION The ClimatFeux
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, etc.). Robust AI (knowledge of methods for quantifying uncertainty in deep learning or formal verification methods applied to deep learning) Embedded AI Reinforcement learning, supervised and