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including designing and conducting experiments, analysing data and presenting research findings in various settings, under the support and direction of the supervisory team. You will work with big data
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range of studies and the methodologies to be used. The post will offer opportunities to apply a variety of data sciences approaches and work with a wide range of large health/clinical/biological datasets
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research environment supported by a team with broad expertise in data science, infectious diseases, hepatology, and clinical informatics. You will take a leading role in analysing large-scale, longitudinal
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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include undertaking research, as appropriate, to support the project including contributing to the delivery and analysis of a large-scale questionnaire survey, conducting qualitative research interviews
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with a focus on work with big data and land use planning. Areas of work: The employment aims to deepen and extend the professional and scientific education targeting a doctoral degree. Your areas of work
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internal events for the University such as our graduation ceremonies and the School of the Arts Festival, as well as a large variety of other large and small events. In addition, the team oversees a range of
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(Optometrist) to support and promote the practice of clinical research in Ophthalmology and Vision Science related studies. These studies are led by Professor Noemi Lois and include: DAME: a large UK-wide
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further including to automated platforms to generate large statistical data sets. We will also experiment with untried higher spatial resolution techniques. The large, multi-dimensional data sets will be
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work with big data and spatial planning. Areas of work: The employment aims to deepen and extend the professional and scientific education targeting a doctoral degree. Your areas of work include: Writing