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interactions with the free surface of the sodium pool, and the stratification and natural circulation of the sodium pool. Numerical simulations will be carried out using direct numerical simulations (DNS) and
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Remote robotic welding guided by reliable, non-contact, emissivity-independent temperature imaging and machine vision
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you should have studied qualitative research methods at master’s level, and be familiar with qualitative interviewing and qualitative coding of interview data. References References Harwood, N. (2005
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preferences for them using birds as a model system. Capitalising on recent advances in computational neuroscience and machine learning, specific objectives are to (1) quantify common design features of avian
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Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems
Design of a Fault Detection System for AI-Assisted Adversarial Attacks on Industrial Control Systems School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Aryan
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Kudryavtsev Application Deadline: Applications accepted all year round Details The SBND (Short-Baseline Near Detector) experiment is part of the multi-detector Short Baseline Neutrino (SBN) programme located
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technology or related relevant subject area Essential Application Strong background in fabrication of semiconductor devices, with evidence for successful development of advanced device processing methods
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data science, computer programming, simulation modelling, ecological theory and climate science, with the potential for fieldwork or ecological experiments in Australia. We welcome applications from
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platforms Work closely with Epitaxy specialists and the group’s collaborators to design, fabricate, test and validate advanced III-Nitride device concepts Develop device fabrication methods suitable
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Funded UK Students Dr Alistair John, Prof Viktor Fedun Application Deadline: 20 June 2025 Details R2T2 is a UKSA-funded doctoral training programme dedicated to academic research in rocket propulsion