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Field
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performance decisions that are better informed by data and to make performance‑critical decisions with greater confidence and clarity. This is an applied data science collaboration between Swansea University’s
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for using data science to address real-world challenges in animal welfare and agricultural sustainability? We are seeking a Research Assistant or Associate in Data Science to join an interdisciplinary
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today’s digital age, we continuously share personal data dozens of times daily—yet 88% of UK consumers want more control over their information, and 42% felt they had no control over their personal data in
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evaluating a class of AI technology that enable expressive, individual and masterful interactions, like a virtuoso musician who channels all of their being - physical, mental, emotional and even spiritual
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quantitative analysis of farm data. The goal is to understand how digital dairy technologies can be designed and implemented to support mutual wellbeing across the human-animal-technology system. The PhD is
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, behavioural and social science perspectives, user‑centred or participatory design methods, and quantitative analysis of farm data. The goal is to understand how digital dairy technologies can be designed and
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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Engineering, Biomedical Engineering, Physics/Medical Physics, Materials Science/Engineering, Chemical Engineering, Data Science/Signal Processing, Biomedical Science, Biological/Human/Life Sciences, etc.) and
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Principal supervisor: Charlotte Doidge Other supervisors: Jasmeet Kaler, Jorge Vazquez Diosdado, Alexandra Lang Background: Research at the School of Veterinary Medicine and Science includes
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across disciplines An independent, self-motivated approach to research You'll gain skills spanning dynamical systems theory, data science, earthquake science, and soil ecology, working with large, real