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science, medical statistics or machine learning methods Advanced knowledge of electronic healthcare records and their use in development and validation of risk prediction models Knowledge in application
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of degradation pathways and shelf-life prediction. The aim of project is the safe integration of machine learning methods within the biopharmaceutical development process. This project offers an opportunity to be
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) Programming (e.g., real-time audio, games engine, machine learning toolboxes, git) Acoustics (e.g., sound properties, room modes, reverberation, HRTFs) Participatory research (e.g., formal listening tests
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, hybrid digital/analogue quantum computation, and quantum machine learning The post holder will join Prof Andrew Green’s research group which studies fundamental aspects of many body quantum dynamics and
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. The aim of project is the safe integration of machine learning methods within the biopharmaceutical development process. This project offers an opportunity to be at the forefront of interdisciplinary
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the university, genomic and metabolomic measures, offering novel potential to explore the physiological basis for imaging measures and apply machine learning in a radiological context. You will join an established
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. The salary for this post is £40,497 to £48,149 per annum. Your skills and attributes for success: PhD in the area of machine learning for robotics. An excellent track record of publications in top-tier
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of the research activity specifically in Modelling UK Supply Chains as complex systems for resilience. Essential Criteria: Have, or be about to obtain, a relevant PhD in Computer Science, Data Analytics, Business
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of it. We teach statistical science at all levels (undergraduate single/combined honours, service courses, MSc and PhD) and carry out research across a wide range of theoretical and applied areas. In
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audio formats (e.g., ambisonics, binaural and object-based audio) Programming (e.g., real-time audio, games engine, machine learning toolboxes, git) Physical acoustics (e.g., sound properties, room modes