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combined with human support. About the role The Research Scientist in Machine Learning for Wearables will develop predictive deep learning models to assess maternal and partner health and behaviour
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Algorithms Agile Programming Applied Machine Learning Computer Graphics Web Design and Programming Cloud Technologies Advanced Databases and Big Data Introduction to AI Natural Language Processing DevOps Data
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regenerative medicine, biosensing, and therapeutics. Learn more at www.stevensgroup.org . This post is available from October 2025 for a fixed-term of 18 months, with the possibility of part-time appointments
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, Bayesian Statistics with a focus on nonparametric methods, Bayesian Computational Methods, Extreme Value Theory, Biostatistics, Probabilistic machine learning, Medical sciences and engineering applications
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theoretical physics, quantum computing, or machine learning and have completed or be in the final stages of a PhD in this or a related discipline. Main duties and responsibilities Design and analyse quantum
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. Our research was funded by several agencies, and we regularly host conferences and seminars featuring colleagues from all over the globe. We are currently looking for a dedicated PhD student to join our
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adaptability of wearable and medical devices, and safer human-machine interaction. Machine Learning (ML) is an emerging technology with significant potential in integrating and embodying soft robotics
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a range of methods including causal inference, signal processing and machine learning to investigate whether and how acceleration data from flying birds can be used to characterise changing levels
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prediction tasks. You will work closely with a diverse group of clinicians, geneticists and computer scientists to achieve these goals. What we are looking for A PhD in computer science or a closely related
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such as geolocation. The model will be dynamic (updating predictions as patients record new data), and will consider statistical and machine learning algorithms. Development of statistical methods