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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | about 12 hours ago
the Safety and Surveillance group. Within a week of working here, your day could look like this: responsible for implementing the innovative use of real world pseudonymised patient data across the range
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organisational, communication, and interpersonal skills. You will bring: Strong experience applying AI methods to complex data, ideally healthcare data A record of high-quality publications and presentations
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We are seeking a research assistant with a background in computing to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device
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& robust control, and learning for dynamics & control. The main task of the PhD student will be to develop sound data-driven methodologies for learning control policies with provable guarantees
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, as well as for their babies. You will work with large, complex datasets from national surveys and routinely collected health data to support impactful research. You will manage your own research
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research frontier in computer vision that combines three critical challenges: class imbalance, recognition of rare and unseen species, and dense labelling of high-resolution imagery. The candidate will
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PhD Scholarship aims to evaluate performance of current GRSs and optimise performance in Black men. The aim is to deliver data-driven evidence to guide future policy implementations of GRSs. The project
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dietary exposure risks to consumers. The research will involve method development using LC-MS/MS for toxin detection, sample collection, data analysis, and comparison of results against current safety
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adapt advanced machine learning frameworks (SPARKS and CEBRA) for supervised and unsupervised analysis of high-dimensional neural data to decode multisensory information Investigate how neural
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Research at the LMB aims to understand the workings of complex systems, such as the immune system and the brain, and use this information to solve key problems in human health and disease