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advanced experimental and modelling methods to better understand the behaviour of industrial lubricants under extreme operating conditions. Lubricants in gears, bearings and other mechanical systems can be
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scientific and technical knowledge as evidenced by publications (if applicable) or successful projects in line with the job description.- Familiar with the latest in AI trends and models for development and
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more than 50% of breast cancer cases. Current treatment strategies involve chemotherapy, endocrine therapy and, subsequently, targeted therapies. However, treatment resistance frequently develops, while
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
11th October 2026 Languages English English English The Department of Structural Engineering has a vacancy for a PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High
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white matter. The network aims to strengthen the full translational pathway from disease mechanisms and model development to preclinical therapy testing, clinical readiness and patient-informed treatment
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in auditory neuroscience, neuroimaging, and AI/NeuroAI. In this role you will bridge human neuroimaging and computational modelling . You will collect and analyse neuroimaging data (7 Tesla fMRI
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/research/air-water-and-landscape-science ). Duties The PhD project will focus on uncertainty quantification in modelling flow and solute transport in fractured rocks. The work will include numerical
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Job related to staff position within a Research Infrastructure? No Offer Description Providing neural models with a persona profile has demonstrated that conditioning such models on specific
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challenge is enabling high-level reasoning for long-horizon tasks without compromising the speed, reliability and efficiency required for real deployment. Current systems often reason effectively but act
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integrating experimental measurements into physics-based models, as well as the feasibility of replacing such models with AI systems trained either on experimental data or synthetic datasets. Current literature