31 computer-science-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" "TU Delft" PhD positions at University of Nottingham
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PhD Studentship NEt2Zero Advanced Microwave Technology Development for Activated Carbon Reactivation
Programme Length: Four Years Study Mode: Full-time Location: Nottingham Start Date: December 2026 Project Overview Activated carbon is widely used in water and air treatment applications to remove
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Location: Faculty of Science and Faculty of Engineering, University of Nottingham, UK Start Date: 1 October 2026 This PhD offers an exciting opportunity to explore reservoir computing, a new
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the specific engineering details of the contact layer created during the Linear Friction Welding (LFW) of Titanium alloys. The successful candidate will have a first-class or upper second-class honours degree in
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the specific engineering details of the contact layer created during the Linear Friction Welding (LFW) of Titanium alloys. The successful candidate will have a first-class or upper second-class honours degree in
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the specific engineering details of the contact layer created during the Linear Friction Welding (LFW) of Titanium alloys. The successful candidate will have a first-class or upper second-class honours degree in
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the aim is to establish fully integrated motor drives as a key enabling technology for sustainable electricity generation, high-efficiency industrial systems, lightweight transport applications, and
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the aim is to establish fully integrated motor drives as a key enabling technology for sustainable electricity generation, high-efficiency industrial systems, lightweight transport applications, and
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for candidates with A master’s degree (e.g. MSc, MEng, MPhys, MRes or equivalent) in a relevant engineering or physical sciences discipline, such as electrical/electronic engineering, general engineering
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particular focus on the development of new catalysts and electrocatalysts for sulfur redox reactions. We encourage applicants with a range of skill sets to apply. The candidate will work within the Nottingham
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a mixture of computational, analytical and machine learning approaches to model the heat transfer to fuels and their physical and chemical behaviour, including changes in chemistry and physical