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of manufacturing. We have identified an opportunity to combine continuous microfluidic (µF) process models, process analytical techn ology (PAT) and machine learning (ML) to achieve a paradigm shift in bioprocess
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inspection, develop a database of raw and processed thermographic images of different defects - geometries on composites, test of thermographic image processing tools and techniques (all applicable
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hospital intensive care unit. The post holder will have primary responsibility for the development and evaluation of the system, and of the data processing and image display software. The post holder will
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people with subclinical and clinical disordered eating and related body image concerns and body image management efforts. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not
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therapies and clinical trials. Your responsibilities will include: processing FASTQ and BAM/CRAM files, and producing variant call files, generating input data for AI tools and implementing secure
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you will need to evaluate all active thermography approaches for composites inspection, develop a database of raw and processed thermographic images of different defects - geometries on composites, test
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Cancer Centre based in the Biodiscovery Institute. We are developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph nodes during
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are developing a groundbreaking technique based on autofluorescence (AF) imaging and Raman spectroscopy for detection of positive lymph nodes during breast cancer surgery. The instrument will allow surgeons
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at University Park Campus and you will have a unique opportunity to undertake the characterisation of cancer cells and tissue using GHz acoustic imaging and characterisation techniques. A key aspect of your role
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. Ying Weng is Course Director for Computer Science with Artificial Intelligence, Professor in Computer Science. She obtained PhD in Signal & Information Processing at Chinese Academy of Sciences, and