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channels them back into new production processes, where possible. The case study region proposed for this is the West Midlands. The position requires an individual with a high-level of analytical capability
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vulnerable to hardware-level threats, including side-channel attacks, fault injections, etc., particularly when optimized for performance. This Research Fellow position focuses on AI security in the context
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tools, collaboration with project stakeholders, and engagement with the consortium and Defence and Security stakeholders. Technical Requirements: Strong coding skills with background in machine learning
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outcomes through various channels such as conferences, seminars, and publications. Utilise acquired knowledge to foster new intellectual insights. Mentor students in research-related activities and offer
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methods will include training with data from Africa not normally available for routine forecasting, and we will explore the value of local optimisation or fine-tuning of foundation codes. Handling spatio
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of foundation codes. Handling spatio-temporal statistics of forecast uncertainty will be a key consideration. This kind of downscaling with machine-learning methods is a rapidly advancing field and it is an
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, biomedical engineering, psychology and have excellent coding and data analysis skills. You will be highly motivated, collaborative, interested in technology and interdisciplinary research and willing
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where applicable. Share research findings and project outcomes through various channels such as conferences, seminars, and publications. Utilise acquired knowledge to foster new intellectual insights
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, biomedical engineering, psychology and have excellent coding and data analysis skills. You will be highly motivated, collaborative, interested in technology and interdisciplinary research and willing
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applying their skills do dementia. You will hold a PhD in a relevant area such as neuroscience, biomedical engineering, psychology and have excellent coding and data analysis skills. You will be highly