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Organization National Aeronautics and Space Administration (NASA) Reference Code 0103-NPP-NOV26-GSFC-PlanetSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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development are particularly important to us. Our mobile work model allows you to work in Finland in the location most appropriate for your work. In addition, we provide flexible hours, and as your employment
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6 Apr 2026 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Master Positions Application
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://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 or Non-degree programme – art. 6º, n. 4 a) https://diariodarepublica.pt/dr/detalhe/regulamento/950-2019-127238533 The applicants are required to have
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plan; the activities will be developed in GIMM installations in Lisboa/Oeiras and/or other necessary locations to their execution. Eligibility criteria Application process: The call is open from 2nd
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) Application Deadline 7 May 2026 - 00:00 (UTC) Country United Arab Emirates Type of Contract Permanent Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU
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studying genome instability, structural variant signatures, or copy number evolution in a cancer context. Experience with multi-species or comparative genomics analyses. Experience with single-cell and/or
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
Organization National Aeronautics and Space Administration (NASA) Reference Code 0310-NPP-NOV26-GSFC-EarthSci How to Apply All applications must be submitted in Zintellect Please visit the NASA
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senior scientist, the RA I will design experiments, perform a variety of molecular biology techniques including molecular cloning, DNA/RNA extraction, DNA/protein gel electrophoresis, PCR, mammalian cell
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://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: https