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-computed tomography (microCT) analysis methods that reveal the 3D structure and evolution of microstructure of concrete non-destructively will be developed within the National X-ray Computed Tomography
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of hyperspectral X-ray imaging, developing cutting-edge techniques that combine 3D imaging with elemental and structural analysis. You’ll be part of the National Research Facility for lab X-ray CT (NXCT) and
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This position offers the opportunity to contribute to a stream of work focusing on the economic analysis of the role of primary care organisations on cancer diagnosis and detection in the NHS
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information that is processed through a machine learning element. The role will also require regular contributions to a variety of academic tasks, including positively interacting and communicating with
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feedback stability analysis and control theory using input-output approaches with strong functional analysis abilities and/or mathematical systems theory skills. You will also have demonstrable potential
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The post holder will support a research programme funded by the Shreeve Foundation investigating the causes of pancreatic cancer risk through the analysis of large-scale molecular and
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and deep learning, and an understanding of applied mathematics, focusing on algorithm design and analysis. Proficiency in modern ML techniques, including geometric deep learning, diffusion models, and
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Overall Purpose of the Job We are looking for an enthusiastic researcher with a PhD in statistical genetics, genetic analysis, bioinformatics or health data science or equivalent. The successful
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operates under the SAFe software development framework as determined by the SKAO, with key elements being; Agile and short-term objectives Continuous integration and deployment Commitment to high-quality
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opportunity to work at the intersection of multimodal AI, cancer biology and digital pathology. The successful applicant will have a PhD or MSc with a significant machine learning element and/or experience with