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research community. We invite applications from experienced and enthusiastic individuals in the field, who have already attained a PhD in a highly relevant field of study. You must be able to demonstrate a
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hold a PhD in a relevant field, having a background in preclinical translational neuroscience, brain imaging approaches and behavioural techniques. You should have experience of working with mouse models
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Intelligence and machine-learning approaches and emerging digital technologies such as non-contact sensors, smartphones, and computer tablets. This theme could also include research in data analytics and
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activities. Candidates are expected to have a solid Computer Science background and must hold a completed PhD degree in Computer Science or a related field. Ideally, applicants already have experience in
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the co-production and school engagement components of the study. We welcome applications from researchers with a PhD in (or equivalent experience) in public health, social sciences, education
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content hosted on online learning platforms (e.g. Moodle), contributing to curriculum development where appropriate, and participating in teaching reviews and quality assurance processes. Some of these
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with exam preparation and revision techniques, and participating in teaching reviews and quality assurance processes. We are particularly looking for candidates who are passionate about creating an
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revision techniques, and participating in teaching reviews and quality assurance processes. We are particularly looking for candidates who are passionate about creating an outstanding lab-based learning
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the Principal Investigator (Jonny Evans), on research problems in these areas, publishing your results and presenting at conferences. You should have completed, or be close to completing a PhD in symplectic
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meteorological processes govern atmospheric oxidation, and fresh insight into how oxidation may change in future and the implications of this for important pollutants and greenhouse gases such as ozone and methane