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, supervised machine learning, live Epic/FHIR implementations for silent deployment, and multi-site data coordination. https://reporter.nih.gov/search/ljiYqBbnJkOn3jp2EpXY6g/project-details/10720073#description
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application of Machine Learning methods. F4 Experience with Timepix4. Closing date: 25 March 2025 Terms and Conditions Salary will be Grade 6/7, £33,232 - £36,924 / £40,247 - £45,163 per annum. This post is
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for data-efficient exploration and optimization within the process parameter space as well as for adaptive, data-driven machine learning to map the electrolysis process to a digital twin. Data workflows and
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