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: The University of Trás-os-Montes and Alto Douro (UTAD) open a call for one (1) Research Grant for Electrical and Computer Engineering PhD students in the frame of the R&D project AI4Work- Human-Centric Digital
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Fully funded 4-year PhD studentship in Computational Chemistry Supervisor: Dr Zsuzsanna Koczor-Benda, UKRI Future Leaders Fellow (FLF) We are looking for a highly motivated and talented PhD
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reputation. Eligibility criteria See PhD theses | SCK CEN Selection process See PhD theses | SCK CEN Additional comments See PhD theses | SCK CEN Website for additional job details https://www.sckcen.be/en
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program, including data stewardship, methodological innovation, quality assurance, and research initiatives. What we’re looking for: A PhD or equivalent in a relevant field. Demonstrated expertise
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- Ångström Laboratory Research Field Chemistry » Structural chemistry Chemistry » Computational chemistry Researcher Profile Recognised Researcher (R2) Country Sweden Application Deadline 8 Jan 2026 - 22:59
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 4 days ago
Framework Programme? Not funded by a EU programme Reference Number 2025-09695 Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD candidate will join the Inria
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whose research engages with physical interfaces, new materials for interaction, exploratory device construction, and the wider space of computational making. Areas of interest include experimental
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the Doctor of Education (EdD) programme and providing supervision for EdD and PhD students. Moreover, successful candidates will play a lead role in collaborative research projects and conduct ongoing original
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Recognised Researcher (R2) Country Belgium Application Deadline 12 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not
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for use by the research and lay communities worldwide with access through computer query protocols and user-friendly interfaces. NED provides data for more than 1.1 billion objects and is growing rapidly