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letter detailing project and career development plans and include a publications list in the upload section of the online application. Please provide contact details, including an email address of two
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the design, development, deployment and evaluation of NeoShield’s applied machine-learning systems, the machine-learning-driven Clinical Decision Support Algorithm for neonatal sepsis and the real-time ward
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alternative career development in technical profession or research management. For suitably experienced applicants, completion of a supported PhD during the post may be feasible. Coordinate participant
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work on development of particle identification and tracking detectors, including simulation and design aspects, and on research and development of photon detectors in the context of the DRD4
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join our dynamic research environment at the forefront of translational genomics. The appointee will be situated within the Genomic Informatics group which forms part of the Human Development and Health
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sequence or structure analysis, machine-learning method development, and modern software engineering practices. They should be proficient in Python and Linux-based development, familiar with deep learning
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and Agritechnology. Research programmes are grouped in the following areas: Molecular Plant Sciences; Biomolecular Interactions; Ecology, Evolution and Environment; and Animal Cells and Systems
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to delineate and evaluate credible, relevant, and timely approaches for the sustainable development of the livestock sector in Europe. In this delivery-focused role, you will lead a central project output
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working with families, and the ability to work collaboratively within a team. A commitment to continuous professional development is essential, and a Masters qualification, current PhD study, or experience
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the development of patient‑centred care. Our research involves people at increased genetic risk of cancer, those living with and beyond cancer, caregivers and healthcare professionals. The post‑holder will support