921 computer-programmer-"https:"-"Brookhaven-Lab"-"https:"-"https:"-"https:"-"Dr" PhD positions
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for individuals with an excellent academic record
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Testing (NDT) – a crucial technique used in industries to assess materials, components, and structures without causing damage. This PhD project focuses on advancing Ultrasound Testing and X-ray Computed
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double degree and requiring international mobility. This offer is part of the MSCA-COFUND CHORAL programme, which will finance 14 positions out of 20 positions offered. Where to apply Website https
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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 We are seeking a highly motivated PhD candidate to join
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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 We are seeking a highly motivated PhD candidate to join
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Full-time Offer Starting Date 1 Mar 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101226270 Is the Job related to staff
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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 Materials science and technology are our
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The National Industry PhD Program is an Australian Government initiative to enhance workforce mobility among graduate researchers, and to promote knowledge transfer between academia and industries
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-wzn23), this project will combine advanced synthetic strategies with reactivity studies, detailed physical characterization and computational studies to elucidate electronic structures. Together
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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 Are you interested in challenging deep learning at its core? And