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the lymph nodes in the armpit without delay. This will impact on patient care as currently positive lymph nodes are detected by histology, but requires 1-2 weeks, which means patients may need a second
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to support the delivery of innovation in data and methods for community connectedness for the Centre for Collaboration in Community Connectedness (C4). The post will also support wider data science
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outlined below. Develop research objectives and proposals for own or joint research, with assistance of a mentor if required Contribute to writing bids for research funding Analyse and interpret data Apply
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(or similar relevant subject) and have research experience in plant science. With excellent communication skills, you will have expertise in designing and undertaking glasshouse, field and/or crop trials. You
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provide information that healthcare professionals can use at the point of care. The clinical motivation is the detection and measurement of delirium and identification of patients with non-convulsive status
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been oriented around high performance computing (HPC) but are increasingly migrating to cloud-based solutions. We are seeking a talented software engineer to bring in this transition. You'll Be Solving
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and translation. You will be based in the School of Electronics and Computer Science (ECS), working alongside an interdisciplinary team led by Dr. Shelly Vishwakarma (s.vishwakarma@soton.ac.uk), in
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that are designed to enable a good work-life balance and to be responsive to support personal circumstances. In many roles we offer flexible working and part-time working, and we have a range of services to help
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by building on existing concepts. The post-holder will aid with the design, development, and maintenance of the research group’s computing infrastructure for data and code, establishing and documenting
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awareness of the current and future needs of AI and renewable energy, including technical, business, and regulatory aspects. Main Duties To plan and carry out research, using appropriate methodology and