630 engineering-computation "https:" "https:" "https:" "https:" "Univ" PhD positions in United Kingdom
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behavioural experimental design and statistical modelling; computer vision and AI techniques; explainable AI and human–machine comparison methods; and responsible innovation. The student will work closely with
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The School of Computer Science and Electronic Engineering at the University of Essex hosts research in communications, networking, signal processing and optimisation. The post will be based within
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at least 2.1 in Engineering, Mathematics, Physics, Architecture, Geography or Computer Science. A Masters’ degree is desirable but not essential. The student will have the opportunity of taking a relevant M
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2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Reference Number RS48906 Is the Job related to staff position within a Research Infrastructure? No Offer
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group within the Faculty of Physics. We are members of the Vienna Center for Quantum Science and Technology (VCQ), one of the largest quantum hubs in Europe, and of the Austrian Cluster of Excellence
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characterisation and radionuclide partitioning using specialised experimental facilities within the NNUF RADER facility (https://www.nnuf.ac.uk/rader ). This will include the use of state-of-the-art facilities
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Environment, SLICE will therefore develop a research and training programme that bridges the current divide between space engineering and climate science to close the gaps that exist in the Life-Cycle Analysis
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Skills/Background The applicant should have a solid background in computer science or systems engineering. Knowledge of AI/ML algorithms and simulation environments is highly advantageous. A keen interest
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. To investigate the Space Launch Impact on Climate and Environment, SLICE will therefore develop a research and training programme that bridges the current divide between space engineering and climate science to
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2D materials, searching for exotic quantum functionalities to form new sustainable electronics and new types of computing. Tuning nanostructures of these materials with extreme pressure will unlock