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science » Informatics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Belgium Application Deadline 31 Mar 2026 - 12:00 (Europe/Brussels) Type of Contract Temporary Job Status Full-time
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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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The Department of Electronic Systems at the Technical Faculty of IT and Design invites applications for a PhD stipend in the field of Quality news-chatbots for Public Service Media within
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Areas: computer science; applied math; artificial intelligence; machine learning; statistics; engineering Appl Deadline: 2026/02/06 11:59PM (listed until 2026/06/19) Fellowship Description: Apply
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gravitational-wave astronomy. The successful candidate will join Greg Ashton’s STFC-funded programme, Advancing Gravitational-Wave Astronomy Using Artificial Intelligence, to work on computational Bayesian
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 3 days ago
the PhD Program please visit the website: https://apply.cemm.at/ Where to apply Website https://apply.cemm.at/ Requirements Research FieldBiological sciences » OtherEducation LevelMaster Degree
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Temporary Job Status Full-time Hours Per Week 37.5 Offer Starting Date 1 Feb 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Reference Number 101162875 Is the Job
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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 We welcome your application for a PhD research fellow position within
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-phd-positions/ . Requirements Top-ranked Master's degree in robotics, computer vision, system control, machine learning, mathematics, or a related field (background in any of the following); Being
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a highly motivated PhD candidate to advance predictive, data-driven production and