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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 7 days ago
) for the mathematical and computational aspects as well as by Mohammed Bendahmane (https://www.ens-lyon.fr/RDP/Morphogenese-florale/ ) (Inrae Lyon) for the biology. It will also be conducted in close collaboration with
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programme in the field of cardiovascular computational modelling. Under the supervision of the project’s researchers, they will carry out the following tasks: Implementation and validation of computational
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LMPS - CNRS - CentraleSupélec - ENS Paris-Saclay | Gif sur Yvette, le de France | France | 4 days ago
. This model is implemented within a dedicated, object-oriented code, based on the finite element method and developed in a MATLAB environment. The work program of this thesis is structured around 2 main axes
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10 Apr 2026 Job Information Organisation/Company MOHAMMED VI POLYTECHNIC UNIVERSITY Research Field Computer science Economics Researcher Profile Recognised Researcher (R2) Established Researcher (R3
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-online scientific computing, digital twins, advanced programming, high performance computing and/or large scale computing competences. Where to apply Website https://pica.cineca.it/sissa/cdr-fe-mate-08
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, seeks to recruit a junior research scientist to develop AI-enabled healthcare applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based
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graphics. Classical representations are relatively easy to render, while being difficult for generative machine learning models. A recent breakthrough in this area is the Neural Radiance Field (NeRF) and
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI" | Italy | about 15 hours ago
:59 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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programme in the field of cardiovascular computational modelling. Under the supervision of the project’s researchers, they will carry out the following tasks: Development of fluid–electro–bio-mechanical
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molecular docking, molecular dynamics and free-energy methods (MD/FEP), machine learning for molecular design, and protein–ligand modelling. Experience bridging computational and experimental groups, and the