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, longitudinal patient and population registries and biobanks. Project description The development of artificial intelligence (AI) and computerised image processing in combination with advanced digital microscopy
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optimal performance The PhD student will be supervised by Ida-Maria Sintorn, Professor in digital image processing, and Jens Sjölund, Assistant Professor in AI at the Department of Information Technology
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the subcellular to the patient level. PhD projects range from the analysis of basic cellular processes to clinical translation, from the application of novel biological approaches to the development of new imaging
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scientists with a vivid interest in interdisciplinary projects to image cell dynamics from the subcellular to the patient level. PhD projects range from the analysis of basic cellular processes to clinical
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Multi-Modal AI and End-to-End Image Analysis for Oncological Imaging in Lung Cancer School of Medicine and Population Health PhD Research Project Directly Funded UK Students Dr B Tahir, Dr Laura
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data acquisition protocols for effective downstream computational analysis. End-to-end image analysis from pre-processing and data cleaning to reporting results. Stay up-to-date with the latest
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data acquisition protocols for effective downstream computational analysis. End-to-end image analysis from pre-processing and data cleaning to reporting results. Stay up-to-date with the latest
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Honours degree in Physics, Engineering, Computer Science or related discipline (or equivalent) Essential Application PhD in medical image processing/analysis (or equivalent) Essential Application Experience
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for Machine Intelligence. We are seeking a candidate with a good Honours degree in Physics, Engineering, Computer Science or related discipline and a PhD in medical image processing/analysis (or equivalent
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range of downstream tasks. Candidates will be requested to develop novel methodologies within the artificial intelligence framework for effectively and efficiently process image time series for semantic