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key role in enhancing the capabilities of our in-house developed OpenScan platform, leveraging generative AI and large language models (LLMs) to process and analyse diverse health data. The role
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disease pathobiology, multi-omic analysis and data science Qualifications A PhD in immunobiology, computational biology or similar discipline (awarded) Newcastle University is a global University where
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support change Assist with the identification of training and development needs Take responsibility (with appropriate support from NUIT) for safe and secure data storage of large bioinformatic datasets and
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LLM Models and Artificial Intelligence systems. Candidates should have a Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Data Science, Statistics
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and following a large cohort of newly diagnosed IBD patients over the course of four years. This multi-centre project will be led from Newcastle and plans to achieve this by collecting whole blood and
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researchers in several areas of accounting including green finance and carbon accounting, big data and data analytics,, corporate governance, accountability, valuation and investor benchmarks, tax transparency
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as fixed-term for 12 months. You will provide high quality teaching to undergraduate students within the School. More information about the School can be found at http://www.ncl.ac.uk/maths-physics
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systems, circuits and devices, as well as computer engineering, from underpinning theories to applications with industry leading partners. We also deliver high quality teaching in microelectronics and
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schemes and a number of health and wellbeing initiatives to support you. Closing Date: 04 June 2024 The Role We are looking for an enthusiastic and experienced researcher to join a large multi-disciplinary
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capacity to engage with the impact of the latest developments in technology (AI, big data) on teaching and learning in our field. The School of History, Classics and Archaeology expects all colleagues