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and will participate in both in vitro (2D and 3D cell and organoid culture) and in vivo (mouse model) research. The role involves conducting functional studies to investigate cellular pathways altered
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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 Materials science and technology are our passion. With
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2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not
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& Software Engineering Key Accountabilities Operate Windows/Mac/Linux computers and other electronic equipment (Elvis, Adruino boards, 3D printers, Oscilloscope, Multimeter, PASCO, Terasic DE10, etc.). Provide
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Grade Level 45 Salary Range $48,214-79,560/year Type of Position Staff Position Time Status Full-Time Required Education MS Click here for more information about equivalencies: https://hr.uky.edu
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The aim of the competition is to select a post-doc researcher who will be
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Tunnelling Microscopes for both the materials and life sciences. It is a centralised shared facility serving the research community at NUS, in Singapore, and beyond. It enables high-resolution 3D structure
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 months ago
Full-time Hours Per Week 35 Offer Starting Date 7 Jul 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Fellow_BI/FCT2023/i3S/07072007/2026
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2027 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 Description The Inserm
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of