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We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis. This is a unique opportunity to
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calls for demonstrated experience in clinical trials, statistical analysis and research dissemination, alongside strong organisational, communication and leadership skills. The successful applicant will
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focus on foundation models, medical image analysis, and multimodal healthcare data integration. In this role, you will: Develop novel federated AI methodologies, foundation model adaptation techniques
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discipline and demonstrated expertise in MRI processing and analysis, supported by first-author publications. You will have strong analytical, programming and scientific writing skills, with experience using
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., hyperspectral) and climate reanalysis data, calibrated with in situ field data, laboratory analysis, and numerical models of landscape evolution. Apply today to spearhead groundbreaking landscape evolution
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reports and maintain strict standards of confidentiality and data privacy. Tech Know-how: High proficiency in standard software (Microsoft Office, data analysis tools) and a readiness to learn specialised
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expertise, in molecular sequencing workflows, genomic data analysis and bioinformatics tools, including programming and high-performance computing. A collaborative approach, sound judgement and a commitment
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experiences and outcomes in cancer care. The position will support the design and delivery of studies, quantitative analysis and psychometric evaluation of PRO data, and dissemination of findings through
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calls for demonstrated experience in clinical trials, statistical analysis and research dissemination, alongside strong organisational, communication and leadership skills. The successful applicant will
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data collection and signal analysis to enhance sensing accuracy and system performance. This position offers an exceptional opportunity to deepen your research expertise, contribute to impactful