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Intensive Solutions for Science in the Exabytes Era). ODISSEE is a major European initiative federating the efforts of 3 pan-European ESFRI infrastructures in the physical sciences, Big Data and, more
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Institute of Animal Reproduction and Food Research of Polish Academy of Sciences | Poland | 5 days ago
of Animal Reproduction and Food Research of the Polish Academy of Sciences in Olsztyn with its registered office at 10-683 Olsztyn, ul. Trylińskiego 18, for the purpose of carrying out the recruitment process
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of human retrovirus (HIV & HTLV) particle assembly. Successful recruits will possess a terminal doctorate (ideally PhD degree) with strong experience in biomedical and/or physical sciences and will be
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) Established Researcher (R3) Application Deadline 2 Feb 2026 - 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme
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your fit to Con-TEki and preferred emphasis (wet-lab vs computational; research interests) Names and contact details of 2–3 referees Evidence of PhD award (or expected award date) Selection process
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19 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire des Composites ThermoStructuraux Research Field Chemistry Physics Technology Researcher Profile First Stage Researcher
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undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 1 month ago
scientific reports. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09672 Requirements Skills/Qualifications Technical skills and level required: master's level in computer science
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engineering, physics, atmospheric sciences, or a closely related field. - Strong publication record and demonstrated experience in computational fluid dynamics, turbulence modeling, and wind energy
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engineering, computational biology, biostatistics, or a related discipline, with a strong background in clinical data analysis and predictive modeling. Experience with multivariate regression techniques