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Automation), with a specialization in: Electronics, Instrumentation, Biomedical Imaging and Signal and Image Processing The candidate should have the following skills: Strong background in electronic
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with specific K edge energies. To leverage this technology, there is a growing need for new contrast formulations designed with tailored physicochemical and spectral properties. This PhD project focuses
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be evaluated for lung diseases imaging which are still challenging to diagnose and treat, despite advancements. We will carry out preclinical studies to evaluate the contribution in combination with
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at the Very Large Telescope in Chile to test the algorithm with the SPHERE+ instrument. Activités The PhD will employ a combination of simulation and experimental validation: • Imaging processing and control
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. Activités The PhD will employ a combination of simulation, optical engineering, and experimental validation: • Imaging processing and control algorithms: Use and develop existing coronagraphic simulation
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geometallurgy. - Collaborating with geochemists, mineralogists, and engineers to orient data processing toward applications related to resource inventory, quality assessment, and transformation processes. Profile
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sciences, medicine, biomedical engineering, or a related field Strong interest in cardiovascular physiology and/or medical imaging Skills in data analysis, processing, and statistics Languages Advanced
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Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
This 3-year PhD thesis will be based at Inria and co-supervised by Dr Maxime Sermesant (3IA Côte d'Azur Chair, Epione team, Inria, Sophia Antipolis), Dr Nadjia Kachenoura (Biomedical Imaging Laboratory
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contract. Expected start: 1 October 2026. PhD enrolment: Université de Lorraine (doctoral school C2MP). The project is part of the ENACT AI Cluster, in the priority area “AI for Engineering and Scientific
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