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interdisciplinary research team across data science, mathematics, and health Skills highly relevant for careers in academia, industry, and the public sector The project combines methodological research with
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: We are seeking a full-time postdoctoral researcher to join an interdisciplinary research team working at the intersection of artificial intelligence, biomedical data science, digital health
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sustainable agricultural production. The successful candidate will play a key role in designing and implementing research at the intersection of sensor data collection, machine learning, remote sensing, and
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). The successful candidate will be involved in projects to perform big-data research, bundling genetics, multi-omics, biomarker, clinical, and histopathological data, to harness the full range of
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data reduction and compression workflows for tomography and imaging applications in collaboration with European research infrastructures. The Position The rapid growth of data volumes generated by
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Career Options: Academia Career Options: Alternative Academic (Alt-Ac) Career Options: Business Development Career Options: Clinical Research Career Options: Consulting Career Options: Data Science
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learning applications in biomedical research • Deep learning and predictive modeling • Natural language processing and large language models for biomedical data • Drug response prediction and
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include the opportunity to work across the new regional NHS Secure Data Environment network, a major national infrastructure for enabling secure access to NHS data for research. They will also have
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, and translational health data science. Research Areas: The postdoctoral fellow will contribute to projects in one or more of the following areas: • Large language models and generative AI for
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PWUD. The Postgraduate Associate will assist with development of IRB protocols, survey instruments, mixed methods research, stakeholder engagement, data-collection tools (qualitative and quantitative