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Your Job We are offering a PhD position focused on nanoscale charge transport in electronic material thin films, combining state-of-the-art experimental tools like nanoprobers and multi-tip scanning
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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 modeling of electronic and optical devices Develop hardware-aware machine learning models incorporating electronic and optical device constraints Design and implement hardware-efficient training
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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 167 / 754 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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quantum computers operate at very low temperatures, well below 4K, to preserve the essential properties of quantum states. The use of conventional electronic circuits at cryogenic temperatures, in close
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spectroscopy (LT-STM/STS) at 5K. We will directly visualize atomic structures and probe the local electronic states of low-dimensional materials with atomic-scale spatial resolution. This master thesis
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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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foundation models and representation learning Design reproducible data and experimental workflows for model training, adaptation and evaluation on selected EO applications Investigate MLOps pipelines