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on clinical complications, and use machine learning to develop and validate predictive models to identify high-risk patients. The research aims to individualise inpatient care, reduce hospital-acquired
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University) and Harmen Beurmanjer (NK expertise centre for Addiction). As part of the ZonMw-funded consortium 'Vulnerable gamblers, gamble characteristics and gambling behaviour,' you will also have
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of these models therefore remains a key scientific challenge. In this PhD project, you will develop and apply data-fusion methods that combine physics-based wind farm models with wind tunnel and field data. A
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affect economic and social decisions. Because these drugs act on the brain's reward system, they may quietly change how patient, risk-taking, cooperative or competitive people are—with consequences
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Description The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a PhD stipend in the field of wireless-native Physical AI Systems within the general study
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(MCU-PH). The PhD student will be co-supervised by Dr Julie Bernardor and Dr Stoyan Ivanov (immunologist, expert in myeloid cell biology), and will more broadly benefit from established collaborations
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critical in aerospace applications, where reduced air pressure can significantly increase the risk of partial discharge (PD) and accelerate insulation degradation. This PhD studentship will investigate and
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backbone of tomorrow's Power-to-X plants. This 3-year PhD position offers a unique opportunity to build a research career at the intersection of digital twins, multi-timescale optimization, and integrated
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Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 Oct 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Is the job funded
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flood risk modelling, to answer questions that no existing dataset can address? Are you motivated by the challenge of generating credible extreme flood scenarios that lie beyond the range of historical