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, applied/medical statistics, bio/medical engineering, health data sciences, health informatics, computer science, clinical artificial intelligence, environmental epidemiology, climate data sciences, remote
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We are seeking a full-time Postdoctoral Research Assistant to join the Multifunctional Materials & Composites (MMC) Laboratory at the Department of Engineering Science. The post is funded by
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unprecedented precision, one at a time and in real time (Nature, 2010; Nature Nanotechnology, 2012, 2017; Science 2025). The project involves a combination of optical imaging, nanofabrication, data analysis, and
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analysis of complex biomedical datasets. The research environment is highly interdisciplinary, bringing together expertise from machine learning, statistics, data science, and healthcare research
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-Ray (via crystallography), HPLC, MS Advanced skills in the analysis of complex synthetic chemistry data Ability to take individual responsibility for planning and undertaking own work, in line with
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robotics, automation, artificial intelligence (AI), and data-driven technologies. This is a multidisciplinary collaborative project supervised by Dr John Ward, Prof. Andy Cooper FRS, and Dr Gabriella Pizzuto
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Postdoctoral Research Associate who will primarily contribute to the project. The successful applicant will be ideally educated to PhD level in Computer Science, Artificial Intelligence, Software Engineering
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clinical translation in head and neck health. FoDOCS integrates expertise across bioscience, biomedical and optical engineering, clinical practice, and data science, enabling seamless translation from
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Are you passionate about using data science and machine learning to address mental health inequalities in rural and coastal communities? The University of Lincoln is seeking an ambitious
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Model Development Plan for future in-orbit demonstration. Further information about the Department of Electrical Engineering and Electronics can be found here: The post is part-time at 14 hours per week