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- 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe
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for magnitudes between 7 and 8. Research program The project will aim to adapt PEGSGraph (Juhel et al., 2024), a graph neural network we designed for rapid magnitude estimation from PEGS (Hourcade et al., 2025) in
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26 Aug 2026 Job Information Organisation/Company University of Lille Research Field Chemistry » Computational chemistry Physics » Statistical physics Chemistry » Physical chemistry Physics
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addition to applicants’ personal networks, applicants may find Breton researchers’ expressions of interest to supervise a Bienvenüe+ fellow on the programme website. SELECTION PROCESS First step: eligibility check Second
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France: analysing the influence of French Guyana, the Antilles and Brazil on regional distribution networks. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8239-ELERUS-003/Default.aspx
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description This is an international PhD project
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MSCA Doctoral Network HINA - Hybrid INtegration of Alkaline niobate - tantalate films for advanced photonic and piezoelectric devices | France | about 2 months ago
Doctoral Network HINA PHD Country: Belgique Where to apply Website https://www.abg.asso.fr/fr/candidatOffres/show/id_offre/139920 Requirements Specific Requirements Eligibility criteria Master degree
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information networks, ranging from single-photon transistors and photonic quantum gates to quantum simulation protocols. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR9001-KAMBEN-007/Default.aspx
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: To work within an interdisciplinary environment with leading experts in seismo-acoustics, High-Performance Computing (HPC) simulations, and real data. A net monthly salary (including basic health insurance
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low-rank tensor network representations, which in principle enables the efficient simulation of physical systems in tensor network form. Besides the potential of enabling relatively frugal computations