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is a web app that offers a suite of tools for personalized mood regulation with for the prevention and treatment of anxiety and depression. This project aims to enable and maximize the impact of
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will contribute to the design, delivery, and dissemination of project activities, while also developing their own research interests aligned with the project themes. Key responsibilities include
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analysis and statistical computing applications. As this role will involve working closely alongside the project teams in the design and development of an interactive web-based data dashboard, proven
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essential, while familiarity with approaches related to redecentralisation of the Web and testbed development is highly desirable. This research will also involve the use of benchmarks and the generation
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. This project explores the emerging risk landscape posed by the deployment of autonomous LLMs that can execute tasks, manipulate system settings, and interface with web services—moving beyond mere text generation
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Digital Technology the role will develop collaborative opportunities enabling regional business innovation and development. The school's specialisms include: robotics, AI, cyber security, software
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feature enhancements, including explainability tools. Software Development & Front-End Integration Work on integrating machine learning outputs into a functional web-based and/or App diagnostic application
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development. The 2021 Research Excellence Framework (REF2021) placed King’s applied and allied health research 1st for: overall proportion of research rated 4* (world-leading, the best mark possible), research
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the development and delivery of improved REF submissions. Focusing on REF Impact Case development, this will include support for outputs and the subsequent impact of these outputs. Sheffield Business School has
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web technologies Experience in teaching bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms