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varied pedagogical training programme will be offered to the successful candidate throughout the 3-year PhD project. Do you recognize yourself in this description? Apply now for your next professional
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a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student (M/F) will join the 'Mosquito Metabolism and Vector Competence' team
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Centre de Mise en Forme des Matériaux (CEMEF) | Sophia Antipolis, Provence Alpes Cote d Azur | France | 2 months ago
Paris but located in Sophia Antipolis in the south of France) and SIMM (part of ESPCI Paris, France) Funding: PSL University (METASOFT program) PhD supervisor: Dr. Sijtze Buwalda (MINES Paris) Co
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Application Deadline 6 Oct 2025 - 07:49 (UTC) Type of Contract Temporary Job Status Full-time Offer Starting Date 15 Sep 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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: skills in instrumentation and experimentation; signal processing and electronics; computer science, C/C++ coding; Familiarity with system dynamics and control; Familiarity with computer graphics, 3D
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laboratory team is likewise highly recognized for its research in computer vision and neuro-inspired artificial learning. Both teams have been collaborating for four years on projects at the interface between
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Deadline 7 Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Horizon
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Deadline 13 Nov 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Dec 2025 Is the job funded through the EU Research Framework Programme? Not funded
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The work will take place at the Laboratoire Canther (UMR
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that are transforming many sectors today through language models, recommendation systems and advanced technologies. However, modern machine learning models, such as neural networks and ensemble models, remain largely