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records and clinical free text. Projects will focus on improving infection diagnosis and treatment, detecting outbreaks in real time, and optimising hospital care pathways. The post is embedded in two major
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Systems, or a related field. Strong analytical and critical thinking skills. Strong machine learning (ML), computer vision (CV), large language models (LLM) for quantitative data, texts, images, and sensor
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, the potential to reduce mining for critical minerals needed in component manufacturing, and cut pollution (linked to both the corrosion product and also the less efficient waste combustion with component uses
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skills (Python preferred) and solid understanding of machine learning and deep learning, including computer vision techniques. Ability to read, write, and communicate scientific texts clearly; strong
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the ability to write text that can be published, present data at conferences, and represent the research group at meetings. Possess the ability to quickly learn new skills and to work independently and
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the ability to write text that can be published, present data at conferences, and represent the research group at meetings. Possess the ability to quickly learn new skills and to work independently and
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for this project. Please also outline your teaching skills. Please include this as an attachment rather than using the text box. Academic References – all admissions applications require one supporting reference
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you wish to apply for this project. Please also outline your teaching skills. Please include this as an attachment rather than using the text box. Academic References – all admissions applications
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, the below text will appear on all job adverts on our jobs website and so does not need to be included in other sections of the job advert. Please note that job descriptions are not exhaustive, and you may be
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the preparation of articles for publication in scientific journal(s) Good numerical and statistics skills and familiarity with text editing software, such as Word, Excel, etc. Knowledge of advanced statistical