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the development of system software. Key questions include how LLMs can support programmers in writing complex logical code, generating high-quality tests, and optimizing performance. Moreover, when integrated with
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team bridging aerospace and materials research, with access to high-performance computing resources and the university’s state-of-the-art materials research facilities, including high-resolution X-ray CT
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on Artificial Intelligence (AI), Deep Reinforcement Learning (DRL), and Predictive Maintenance for optimizing wind turbine performance and reliability. This research will develop an AI-powered wind turbine
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Applications are invited for a PhD scholarship at the Department of English German and Romance Studies. The chosen candidate will be employed and enrolled at the Faculty of Humanities under the PhD
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A position exists for a postdoctoral Research Assistant/Associate to work on the development of novel semiconductor optoelectronic and sensing devices using high-throughput fabrication and
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A position exists for a postdoctoral Research Assistant/Associate to work on the development of novel semiconductor optoelectronic and sensing devices using high-throughput fabrication and
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physics and diagnostics at the York Plasma Institute Computational combustion modelling using High-Performance Computing (HPC) Machine learning techniques for predictive combustion models Research
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and ever-denser devices, heat fluxes comparable to the surface of the Sun can be generated at hot spots, producing high temperatures that adversely impact their performance and raise risk of
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into practical performance solutions. The “Travel, sleep and fatigue optimal management for long-haul performance” PhD programme will focus on mitigating circadian and travel fatigue challenges associated with
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performing research in universities and research centres other than NTNU. Duties of the position Contribute to the development of welding procedures for welding of high strength steel based on the guidelines