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improved care for people affected by prostate cancer (PCa) or kidney cancer (KC). This position will focus on modeling AI trustworthiness and explainability in medical data and models (mainly imaging data
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evaluation of modal-decomposition techniques applied to data from high-fidelity numerical simulations of landing-gear aeroacoustics. The researcher will develop and implement modal-decomposition methods using
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constrained-mixture (finite element) models for cardiovascular tissues towards simulating cartilage G&R. You will then simulate cartilage microtissues growing inside engineered, confining microenvironments and
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to mechanical stimulation Methods and Approaches: The project combines state-of-the-art experimental and computational techniques, including: Transgenic mouse models and lineage tracing Orthodontic tooth movement
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atmospheric perturbations, and improving performance under realistic operational conditions. Main activities include: • Designing and developing deep learning models to correct wavefront sensor nonlinearities
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computing. This particular position focuses on time-series analysis and forecasting using transformer based foundation models. About the Project Time-series prediction using transformer based models is
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this simulator to support the assessment of the FORUM mission performances. Investigating the capabilities of artificial intelligence foundation models for Earth Observation and preparing their integration
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novel, disruptive dialyser design. Directly supervised by Professor Pierre Ricco, you will be responsible for the theoretical analysis and numerical simulations of blood and dialysate flows and toxin
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performance. To validate the achieved tuning range and functional performance in laboratory measurements against modeling and simulation results. This position is part of the MetaTune Doctoral Network
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, scientific and varied tools and methodologies, to model these relations and offer simulations, best practices recommendations, and proposals for public policies linked to our scientific findings, in order to