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insufficiently understood from a mechanistic and modelling perspective. This PhD project aims to develop innovative mathematical and computational models that describe how trees exchange carbon, water and
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• Supervision of interns, collaboration with PhD students The team investigates logical foundations and formal methods for quantum programming languages leveraging on a strong expertise in linear logic, lambda
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track record on one of the following research areas: Trustworthy AI AI for formal methods Formal methods for AI The successful candidate will participate in the activities of the research group led by
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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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of the methods. The project is carried out in close collaboration with Helical-AI, an industrial partner specialized in large-scale genomic foundation models and HPC-enabled model deployment, ensuring
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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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for embedded and GPU platforms. Collaborate with ARSPECTRA engineers and surgeons to create a complete AR guidance pipeline : tracking, SLAM, gaze, user interface Your profile PhD in machine learning
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PROFILE: PhD/ R1: First stage Researcher RESEARCH FIELD(S)1: Engineering MAIN SUB RESEARCH FIELD OR DISCIPLINES1: Engineering JOB /OFFER DESCRIPTION The widespread use of plastic materials has led to a
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, researchers, postdoc and PhD candidates about the administrative steps to be undertaken prior to arrival at AMU and the various practical formalities to be completed once in France: visas and entry requirements