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with expertise in areas such as Machine Learning and Deep Learning, Generative AI, Data-Centric and Responsible AI, or AI for real-world applications (e.g., health, cybersecurity, robotics, or business
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research on this topic. Projects have been designed to generate tangible outputs such as published papers, software or data sets within a 12-month period. The fellowship should not be viewed as an
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will also work alongside other team members to examine patients’ responses by analysing EEG and behavioural data. Candidates are expected to hold a medical qualification (MBBS or equivalent) and be fully
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-quality, repeatable data. Develop and apply signal processing workflows for weak transient signals, long-term monitoring, feature extraction and statistical analysis. Support sound playback/stimulation
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landscape review of which health parameters are (or should be) monitored in Space, how they are measured today (hardware, protocols, frequency, data quality, anything measured in tandem and how/if AI based
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demonstrable molecular biology skills. You will be able to design the experiments, execute the experiment using various molecular biology techniques, and help analyse the data. You will have highly effective
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member of the Translational Neuropsychology research group with responsibility for the provision of research support for an NHS on-site based research study. The work includes validating new computer
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group, including PhD and MSc and honours project students. You will also be heavily involved with data analysis and writing up manuscripts. Please see the below 'Job Description' for further details
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trigger redesigns across multiple groups. The challenge is compounded by the fact that each discipline uses different data models and representations, making system-level interdependencies difficult
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Population Health Sciences in Bristol Medical School. This post is funded by international studies which will use skills in systematic review and meta-analyses, epidemiological data analyses, and health