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The increasing prevalence of autonomous systems in dynamic, human-centred environments, such as smart transportation networks and distributed IoT infrastructures, demands decision-making frameworks
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Distributed, robust and adaptive model predictive control (MPC) School of Electrical and Electronic Engineering PhD Research Project Self Funded Dr P Trodden Application Deadline: Applications
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PhD Positions Application Deadline 24 May 2026 - 23:59 (Europe/Oslo) Country Norway Type of Contract Temporary Job Status Full-time Hours Per Week 37,5 Is the job funded through the EU Research
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funder progress reports for large-scale multinational funded research programmes. * Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award
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hydrothermal systems. The PhD work will be devoted to the investigation of the processes that control the magnetization and electrical conduction in basaltic rocks: effects of lithology, magnetic mineralogy
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architectures, and synthetic datasets that integrate experimental X-ray scattering data. System Stability: Ensuring numerical reproducibility and stability in large-scale distributed training workloads. Learn
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PhD Position – Development of metal-organic frameworks-glass composites for sustainable applications
to staff position within a Research Infrastructure? No Offer Description This is a PhD project focused on the design, synthesis, and advanced structural characterisation of MOF-glass composites
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below: PhD A – Importance of dark carbon fixation in the deep ocean. There is growing evidence that dark carbon fixation contributes to the sustenance of heterotrophic life at great depth. Using 14C and
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transdisciplinary research field that explores how technology can support health and sustainability through digitalisation, data-driven systems, and intelligent decision support. About the position This PhD position
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learning for interconnected systems (e.g., 6G and Edge AI platforms, self-driving vehicle vision) in collaboration with industry partners and domain experts. This PhD thesis is offered in the context