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and beyond, and participating in research networks such as the Collections-Connections-Communities initiative. We particularly encourage applicants who will seek to bring new perspectives
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meeting and fortnightly complex genetics MDT. You will also attend clinic where you will review patients as part of their routine clinic visit and consent them for research, including collection of in-depth
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technologies, solve complex problems, and drive meaningful advancements within the Digital Screening and Artificial Intelligence research. The post is offered on a full time (38.5 hours per week), fixed term
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as research team leader and to routinely communicate complex and conceptual ideas. About you The successful applicant will be able to develop research objectives, projects and proposals; identify
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to communicate complex, specialist material to a variety of audiences, and/or develop and conduct stakeholder and public engagement Willingness to undertake relevant citizenship roles as part of professional
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research associates and PhD students. You will also engage directly with numerous external stakeholders (industry and academia), which will form part of your research network and give you opportunities
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and beyond, and participating in research networks such as the Collections-Connections-Communities initiative. We particularly encourage applicants who will seek to bring new perspectives
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integration or multi-modal data, Ability to work with and develop interfaces for complex or hybrid sensing systems. Excellent interdisciplinary communication – Strong collaborative skills to work effectively
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health data. Understanding and/or experience of machine and deep learning (e.g. XGBoost, convolutional neural networks etc.). Flexible, enthusiastic and confident in relating to colleagues of varying
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, you will collaborate with Inha University and have access to a broad network of academic partners, including Imperial College London, University of Oxford, University of Bristol, and University