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We seek a Research Fellow with a proven publication record to develop resistivity models from marine controlled source electromagnetic (CSEM) data to be acquired in February-March 2026 and to
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decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both
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to the patient pathway. Progress and resolve a range of enquiries of varying complexity from patients, carers and hospitals and other USAIS stakeholders Manipulate, analyse and/or evaluate standard information
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desirable, strong organisational skills, confident data analysis and excel skills with customer service focus are essential. You will be an excellent team player with effective partnership working, excellent
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knowledge and expertise within the homelessness sector. This role will require you to assist with data analysis, interpretation of data, write up of reports, and dissemination to stakeholders and peer
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approaches to understand fundamental biological processes, with the goal of using this information to generate engineered antibodies for use as therapeutics in cancer and autoimmune disease. The appointee is
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: Genomics, precision medicine, bioengineering, and health data science AI and Digital: Machine learning, robotics, digital health, and cybersecurity Defence and Advanced Manufacturing: Secure systems
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fitness facilities on-site; cycle to work scheme; a range of discounts which include restaurants, retail outlets and entertainment. For information on the Service please look at the website http
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Research Fellow in Intervention Development to join the Big Data in Health Group About us Our big data in health team at the University of Southampton is based in the Primary Care Research Centre
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, cycle to work scheme; a range of discounts which include restaurants, retail outlets and entertainment. Join us in making a real difference to the lives of individuals with hearing loss. For information