474 machine-learning-and-image-processing-"RMIT-University" PhD positions in United Kingdom
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process validation. The successful candidate will have opportunities to work at TPC’s facility in Hallstahammar, contributing directly to on-site trials and process enhancements. The company’s investment in
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Human Behaviour in projects targeting social good. Research at N/LAB focuses on the development and application of innovative computational methods using Big Data, Behavioural Science and Machine Learning
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-derived criteria. A scoping review, alongside initial semi-structured interviews and focus group transcripts subjected to thematic analysis, will build a picture of what key stakeholders want. Clinic
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
. •Specialist training in AI, machine learning, and digital engineering. •Collaboration with academic and industry experts for technical insight and mentoring. •A supportive research environment focused on both
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simultaneously, useful for printing functional devices. Discovering the interactions of these materials and how to leverage this advanced manufacturing process will open new opportunities: devices with variable
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extracellular arginine for their survival. Therefore, it is unsurprising that arginine-deprivation approaches are becoming increasingly popular as potential therapies to treat a variety of cancers. This is a
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an independent impact assessment of potential climate interventions in the Arctic marine environment through laboratory experiments and computer modelling. The team will develop physical, climate and ecosystem
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An exciting opportunity has arisen for a talented computer scientist to join our team as a researcher within the Green Algorithms Initiative in the Department of Public Health and Primary Care, one
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computer literacy, good inter-personal communications skills. Desirable skills: A Master in Health Economics with experience in cost effective analyses. Funding notes The three year studentship covers UK
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-based structural integrity model, validated using synchrotron X-ray microtomography and phase contrast imaging, to predict the lifetime of UK’s advanced gas-cooled reactors fuel cladding in storage