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of this project, you will have developed deep networks in both the quantum and healthcare industries to ideally position yourself for the transition to your next role. The Quantum Program Manager position offers
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Call for expression of interest SENIOR OR MID-CAREER RESEARCHERS IN ARTIFICIAL INTELLIGENCE, DATA SCIENCE AND COMPUTATIONAL SCIENCES AT THE PARIS BRAIN INSTITUTE PARIS, FRANCE The Paris Brain
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of the moving sources, and directionality of the DAS measurements, make the use of machine learning techniques very appealing. The doctoral student will propose deep learning methods for source separation of DAS
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, Environmeltal History, Digital Humanities, or a related field Demonstrated work with computational approaches Strong interest in the economic and environmental history of Africa Strong interest in AI methods
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transitions Proficiency in qualitative research methods, e.g., semi-structured interviews, focus groups, stakeholder mapping, content analysis Fluency in English and preferably French; reading skills in Dutch
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and networking Using an innovative multi-method design, the project integrates: Daily diary and ecological momentary assessment (EMA) approaches conducted by the Psychology Team In-depth qualitative and
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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on fluctuation of fluorescent molecules methods as they don’t need any specific materiel or fluorophore. The super-resolved image reconstruction is formalized in mathematical terms as an inverse problem with
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Cardioembolic Stroke Risk Stratification using AI Accelerated Patient-Specific Blood Flow Simulation
) appendage shape or LA morphology, have recently emerged as valuable predictors of stroke risk. However, they do not integrate blood flow characteristics responsible for thrombogenesis. Methods Two main
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bridging disciplines and fostering collaboration between researchers, policymakers, and society. Your role Develop innovative methods for visualising complex environmental and socio-spatial data Analyse