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programme This project focuses on the application of digital health technology to study the contribution of sleep and circadian disturbance to brain function, neuropsychiatric symptoms and behaviour in people
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, models, techniques and methods. Ability to assess and organise resource requirements and deploy effectively. Ability to build relationships and collaborate with others, both internally and externally. Some
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the Research Fellow and Hub Director to deliver the research programme, whilst working closely with partners including the Lived Experience Advisory Panel. This role includes contributing to research ethics
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Science methods and AI models while ensuring their principled and competent adoption across disciplines. Our approach is anchored in fostering an interdisciplinary and inclusive culture in research and
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of genome organisation and metabolic control - with the bold vision of building synthetic life. In this role, you will develop and apply deep learning methods to analyse single-cell modalities, focusing
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Application Deadline 17 Sep 2025 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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. Description of Duties Grade 7 Assist on new and innovative optical remote sensing methods and applications for monitoring and managing aquatic environments under study, the Mekong river delta and the Forth
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of building synthetic life. In this role, you will develop and apply deep learning methods to analyse single-cell modalities, focusing on gene regulation and the engineering of microbial and human cells. You
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modeling of the data. The successful applicant will join a vibrant research group that uses a wide variety of spectroscopic methods to study photochemical processes. Essential Duties and Responsibilities
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collaborative research environment that exemplifies IDAI's distinct approach to interdisciplinary data science and AI research. Person Specification PhD (or near completion) in Computer Science, Data Science, AI