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physics, mathematics, and statistical/AI approaches. • Proficiency in programming (mainly Fortran, Python) and the Linux/Unix environment. • Experience in high-performance computing and large datasets
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diffractometer, a GC for common gas analysis, a GC/MS, and an HPLC/MS. DFT calculations will be performed using annual allocations on national high-performance computing centers. More details here: https
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Feb 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme
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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 The 'SYstèmes et Matériaux pour la
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Funding: This position is funded by DarkES, a joint ANR–DFG research project supported by the French and German national science foundations, co-led by Dr. Azadeh Moradinezhad (LAPTh) and Prof. Julien
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Center for Immunology of Marseille-Luminy (CIML) | Marseille, Provence Alpes Cote d Azur | France | 3 months ago
38.5 Offer Starting Date 1 Feb 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
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35 Offer Starting Date 1 Feb 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
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the world of tomorrow. XLIM UMR CNRS 7252 is a center of expertise focused on electronics and high-frequency technologies, optics and photonics, mathematics, computer science and imaging, and CAD, in
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Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe Reference Number 2026-R0146 Is the Job related to staff position within a Research Infrastructure
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for viability in these cohorts subject to high mortality rates could compensate for the low number of individuals by leaving only those of very good quality with strong phenotypic and demographic performance