4,035 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions in United Kingdom
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collaboration experience. Main duties and responsibilities Develop findable, accessible, interoperable, and reusable (FAIR) AI / machine learning software, tools, and workflows to support multiple exploratory
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, software engineering, Embedded Systems, Artificial Intelligence / Machine Learning, data science, or closely related disciplines or significant practical/industrial experience. Significant postdoctoral
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by a subject matter expert and students are supported through their learning journey by the online faciliatory team of Associate Lecturers. The role of the Associate Lecturer plays a critical role in
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interactions, and mobility are collected). Machine Learning models will be trained to infer fatigue in real time, triggering adaptive prompts, such as suggesting micro-breaks. Expected outcomes include a sensing
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computational statistics, machine learning, theoretical statistics, and probability as well as applied statistics fields, including statistical and population genetics, bioinformatics, econometrics, statistical
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, computer vision, and predictive modelling, alongside excellent IT, analytical, interpersonal and communication skills in spoken and written English. You must be able to collect, process and present data with
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wide range of libraries/frameworks and cloud infrastructure tools. Familiarity with Machine Learning, Neural Network and AI driven image analysis methods Experience with data management for large data
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will integrate full-field experimental measurements—such as Digital Image Correlation (DIC)—with synthetically generated data and advanced machine-learning techniques to identify physically meaningful
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to learn. Good organisational and presentation skills. The ability to work well in an interdisciplinary environment. Further information: This position is offered full time, fixed term for 18 months
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cutting-edge courses, modern pedagogy and practical knowledge, we enable our students and staff to experience the joy of learning, teaching, research and innovation, and apply their knowledge