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data from existing cohorts and national registries, applying novel machine learning methods. The specific work tasks will include data management of large studies, scientific work related to the topics
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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-phd-positions/ . Requirements Top-ranked Master's degree in robotics, computer vision, system control, machine learning, mathematics, or a related field (background in any of the following); Being
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advantage: • Experience with health data standards (ICD, CPT, LOINC, SNOMED CT). • Familiarity with hospital workflows or clinical terminology. • Experience with machine learning, natural language processing
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machine-learning techniques; interpretation of multimodal patterns of brain organisation; collaboration with international partners in alzheimer prevention; contribution to methodological innovation in
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enthusiastic scientist with the following competencies and experience: Essential experience and skills: You have a PhD in Machine Learning, Artificial Intelligence, Bioinformatics, Biostatistics, Epidemiology
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- Department of Electronics and Information Systems Degree Master in Informatics, Master in Computer Science, Master in Computer Engineering, or similar Occupancy rate 100% Vacancy type Research staff ABOUT
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application! We are looking for a PhD student in Statistics with placement at the Division of Statistics and Machine Learning, Department of Computer and Information Science. Your work assignments As a PhD
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the use of large language models to support neural network design and data preprocessing. The position involves close collaboration with experts in cardiovascular simulation and Scientific Machine Learning
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level. Successful candidates will teach and supervise students who are serving officers and civil servants in the UK and allied armed forces and partners. There are also opportunities to contribute