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address: Dr Fahad Panolan: f.panolan@leeds.ac.uk Project summary The Algorithms group at the University of Leeds (UK) is offering a fully funded 3.5-year PhD studentship on Parameterized Complexity and
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, increasing costs and resource waste. This Ph.D. project aims to address these challenges by advancing fault diagnosis and prognosis (FDP) for complex mechatronic systems. Building on Supervisor Team's
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for Home/EU and International students Further information and other funding options . Informal Enquiries: R.Pillai@ed.ac.uk Whether it is the substantial cooling requirements of future data centres
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industry, a Regulatory Authority or relevant doctoral/post-doctoral research. We are seeking candidates with experience of: Communicating complex scientific issues, in writing and face-to-face, with clarity
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lives, appearing in processes such as in additive manufacturing, the Earth’s atmosphere, and inkjet/biomaterial printing. The key to understanding (and ultimately engineering) these applications is how
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operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
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Background Access to healthcare is an ever-increasing global issue. Over 15% of the current global population require rehabilitation care, but the majority of them do not receive healthcare access
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Energy Management System for Heavy-Duty Mobility. This research is funded by a government agency and aims to reduce carbon footprint from heavy-duty vehicle. The post-holder will be required to demonstrate
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Project summary: A transition to net zero is desirable overall, but its costs and benefits are unevenly distributed across time, space, and between individuals, and policy to implement it must be
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Fixed-term: The funds for this post are available for 12 months A position is available for a Postdoctoral Research Associate (Postdoc) in the forthcoming Aspirational Computing Lab in