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About PhD@Tec21 : The Marie Skłodowska-Curie Cofund doctoral programme PhD@Tec21 is dedicated to training the next generation of experts in mechanical and chemical engineering. The programme targets
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Multiple PhD positions in magnetism and spintronics are available within the Quantum Grenoble Doctoral Programme (3 different funding schemes). The call is open from 26 January till 16 March 2026
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Computer science Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France Application Deadline 17 Jan 2026 - 23:59 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer
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Full-time Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe Reference Number 101217261 Is the Job related to staff position within a Research
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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 Air traffic is responsible for an increasingly
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) Positions PhD Positions Application Deadline 1 Jun 2026 - 00:00 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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Application Deadline 23 Mar 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | about 1 month ago
-09731 Requirements Skills/Qualifications Candidate profile - Master degree Computer Sciences. - Experience in scientific programming (e.g., Python, C++, Fortran, Julia) and parallelization
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Starting Date 1 May 2026 Is the job funded 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
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through sensitivity, uncertainty, and scalability analyses. – Enhance the computational efficiency of large-scale optimization problems by exploring decomposition techniques, parallelization, and