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) Laboratory. The group develops clinically grounded artificial-intelligence and data-science methods to derive scalable digital biomarkers from echocardiography, cardiac computed tomography, electrocardiography
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national and international collaborators. It is allowed one day of home office per week (flexible) Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5819-MARCAR-001/Default.aspx Requirements
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-time, and evidence-accumulation phenomena. Implement simulation, parameter-estimation, and model-comparison methods in Python, MATLAB, R, or related computational environments. Lead and co-author
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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including emerging digital public infrastructure. A combination of methods - archival, data sets and interview based will be essential. The interaction of ideas and institutions with public perception
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-CT experiments as part of the user program but the methodology has not been optimised. In this project, we will optimise the scanning method, the hardware and the analysis software to make
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, including appropriate data and software management. Desirable criteria 1. Experience with tensor network algorithms, Pauli propagation, exact diagonalisation or other classical simulation methods for quantum
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Austrian Academy of Sciences, The Institute for Habsburg and Balkan Studies (IHB) | Austria | 18 days ago
piety, material culture, and community life, including applying computational text-analysis methods to the corpus Co-organize project workshops and conferences Produce a major study on the phonology and
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. The research focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical discoveries for renewable energy
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the Quality of AI Agents) under the direction of Prof Hamid Bouchachia. The project will deliver the engineering abstractions, methods and tools needed to support reliable, scalable end-to-end development