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Science and Artificial Intelligence Research profile: High-performance computing applied to medical image processing Language requirement: C1-level proficiency in Valencian Position Number: DF03310 Area of
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, an adequate command of both official languages. High level of English. Advanced computer skills (Excel, Word, PowerPoint, etc.). Desirable qualifications Knowledge of functional studies of genetic
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. The CRG is composed by an interdisciplinary, motivated and creative scientific team which is supported both by a flexible and efficient administration and by high-end and innovative technologies. In April
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/electronic_board/EXP2026/007568 Requirements Research FieldComputer science » Computer systemsEducation LevelUndergraduate Skills/Qualifications DEGREE: High School Certificate Additional Information Eligibility
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Scholars Fund aims to attract and encourage outstanding overseas young scholars (including international scholars) with high achievements in natural sciences, engineering technology, etc. to return (or come
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2026 - 23:59 (UTC) Country Spain Type of Contract Temporary Job Status Full-time Hours Per Week 39 Offer Starting Date 1 Oct 2026 Is the job funded through the EU Research Framework Programme? Not funded
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retinotopic maps reconfigures during reading. Our research program integrates multi-modal neuroimaging with high-level computational modeling to bridge the gap between biological structure and computational
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tasks include: Novel fire tests High performance fire-safe polymers The candidate will acquire hands-on experience with polymer processing and composites. The candidate will gain experience in fundamental
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Programme? European Union / Next Generation EU Reference Number 2026/120 Is the Job related to staff position within a Research Infrastructure? No Offer Description Call for applications for a T4A ICI 22
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funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number PRE57_2026 Marie Curie Grant Agreement Number 101312790 Is the Job related to staff position within a Research