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aim to develop ways to apply AI-defined molecular classifications globally. This first pilot of the consortium aims to develop a novel molecular diagnostic test based on H&E images of ovarian cancer and
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microfabrication techniques such as sputtering, spin coating Experience of working with characterisation techniques such as thermal imaging, profilometry, scanning electron microscopy, UV-VIS spectrometry Experience
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capable of measuring the electrical impedance of surrounding intestinal tissue and imaging the mucosal surface. The capsule will process the sensing and imaging data to detect and grade the severity
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metabolome and imaging approaches, experimental medicine studies and clinical trials. We provide access to advanced training opportunities in both human in vivo and model-based deep metabolic phenotyping
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, approved and up to date. Fully understand the safety aspects of equipment operation and be able to demonstrate/train staff (at all levels) on the correct usage of the equipment. Ensuring that regular
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. Under the direction of the Senior Administrator, work to a set of standards, processes and procedures, which will be of benefit to the team and its customers. Seek guidance and direction from the Senior
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ensuring internal approval processes and procedures are followed throughout. You’ll be based on our beautiful, historic Edgbaston campus as part of a friendly, supportive, and collaborative team in
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University you will be professional at all times, maintaining a good standard of work and adhere to University processes and procedures. During this apprenticeship you will learn the following: Year One: In
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, government, third sector or the public. Highlight a case in which you translated complex AI concepts for a non-specialist audience and indicate the outcome (policy change, prototype, engagement metrics, etc
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of Birmingham. The Research Assistant will be responsible for cell isolation, cell culture and setting up cell cross talk assays following by analysis through imaging/molecular biology and flow cytometry