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practices, and technology-enhanced learning. It is an advantage if you have one or more of the below A solid foundation in understanding learning processes from a cognitive, embodied, and/or epistemic
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are eligible to pay tuition fees at the Home rate are eligible to apply. The successful candidate will receive an annual tax-free part time stipend set at the UKRI rate (£13,200.80 for 2026/27) plus a salary
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4th October 2026 Languages English English English The Department of Information Security and Communication Technology has a vacancy for PhD Candidate in Modelling and Executing Cascading Effects
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interactions between Antarctic krill and salps reshape Southern Ocean ecosystems and the global carbon cycle. It will explore how sea‑ice loss, warming, predation and fisheries affect krill and salp population
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PhD Candidate to conduct research on Artificial Intelligence for managing Shipbuilding Supply Chains
for the position. Preferred selection criteria Experience with machine learning or other relevant AI technologies Scandinavian language skills Previous experience from industry or research in engineer-to-order
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if the employer does not terminate it within the first 12 months by submitting a declaration of non-extension. With appropriate work progress, an extension to a total maximum of 4 years is possible. About the team
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| Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.09.2029 Reference no.: 6194 Explore and teach at the University of Vienna, where more than 7,500 academics thrive
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practices. • Identifying gaps and proposing appropriate scientific solutions. • Applying and evaluating generative AI technology to enhance the customer experience Expertise required Master’s degree in
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on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and
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Applications are sought for a fully funded PhD 3-year studentship position in the School of Chemistry at the University of Birmingham (UoB) in collaboration with the Defence Science and Technology