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Your Job In this thesis you will work in the European Space Agency (ESA)-funded project Fast-EO (Fostering Advances in Foundation Models via Unsupervised and Self-Supervised Learning for Downstream
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, and physics-informed machine learning open new possibilities for establishing grid foundation models. However, it is still unclear which model structures is most capable and suitable, how well they
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feeds Stage : Étude et Mise en Œuvre de l'Outil VMware Cloud Foundation Operations (vROPS) H/F 65 / 753 vacancy Détail de l'offre Description du poste Domaine Systèmes d'information Contrat Stage
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Your Job In this thesis you will work in the European Space Agency (ESA)-funded project Fast-EO (Fostering Advances in Foundation Models via Unsupervised and Self-Supervised Learning for Downstream
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foundation models and representation learning Design reproducible data and experimental workflows for model training, adaptation and evaluation on selected EO applications Investigate MLOps pipelines
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the understanding of reliability physics, and optimizing their potential down to deep cryogenic temperature. [1] https://irtnanoelec.fr/programme/q-loop-preparer-le-controle-commande-de-lordinateur
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public-sector benefits. Closing date 17 Aug 2026 Website https://www.inria.fr/en/chairs-junior-professor-recruitment-employment View more categories View less categories Discipline Computing , Health
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nanoelectronics research center IMEC ( https://www.imec-int.com/en ). The work will focus on spatially resolved electrical measurements, enabling direct correlation between structure and transport
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written and spoken English is required (at least C1 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate confirming the language level Our Benefits
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(C1/C2 level according to the CEFR: https://go.fzj.de/languagerequirements ), ideally supported by a certificate confirming the language level.. Our Benefits for You We work on the very latest issues