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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 3 months ago
component to conceive novel setups and collect data to compare with simulations. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09688 Requirements Skills/Qualifications
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-108 rue de la SanteGeofield Contact City paris Website https://ipnp.paris5.inserm.fr/ Street 24 bd du Montparnasse Postal Code 75015 E-Mail alessandra.pierani@inserm.fr STATUS: EXPIRED X (formerly
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biomedical research. Your profile Master's degree in computer science or related discipline Experience with Python and recent deep learning frameworks (e.g. Pytorch, MONAI) Strong interest in image analysis
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the final thesis. The first year of the Ph.D. programme corresponds to the Master in Quantitative Economics and Finance (MQEF). All courses are in English and taught by local faculty and visiting scholars
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resource development. Supervisory Team Main Supervisor (host institution): Prof. Dr. Ingo Sass (GFZ/ TU Darmstadt) Co-supervisor(s): Dr. Juliane Kummerow (GFZ) Planned Secondments (institution, country
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contact Prof. Stéphane Bordas ( ) with CC to Dr. Jakub Lengiewicz ( ). Your profile A Master's degree in Applied Mathematics, Computational Science, Physics, Engineering, or a closely related discipline
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participation in phantom and clinical studies with CHL More information about the team and environment: Computational Mechanics (Legato), Legato Team site , Legato YouTube Your profile Master's degree in
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science, and engineering. The ideal applicant brings not only strong technical skills, but also the mindset needed to thrive in a highly collaborative, interdisciplinary research environment. Master's
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expected to contribute to other activities and tasks within the ENER-G project. The main outcome(s) of the PhD will be novel optimisation models and solution algorithms that will substantially advance