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successful you will have: A PhD (or equivalent professional experience) in a discipline relevant to responsible AI, including computer science, AI, data science, science and technology studies, law, public
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at each institution as part of the five-year STFC Large Award "TRANSCEND". TRANSCEND is a collaboration between QUB/Lancaster/Oxford/Southampton that will use Vera Rubin/LSST transient data and the 4MOST
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organisational settings. Applicants should have a MSc degree or PhD in psychology, neuroscience, cognitive neuroscience, or a closely related discipline. Previous experience collecting and analysing EEG data is
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will have a PhD, or be close to completing one, in a relevant discipline such as pharmacology, molecular biology, neuroscience, biochemistry, physiology or evolutionary biology. You will have experience
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role in all stages of this process, from conceptualisation to data collection and analysis, as well as writing up and presenting the findings. As such, there is scope for the post-holder to bring
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in Spain, identify and transcribe early modern Spanish manuscript sources, and extract and structure historical information for incorporation into the project's integrated digital database. You will
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economic evaluation and analysis plans, conducting economic modelling and secondary data analysis, synthesising evidence, and producing high-quality research outputs. You will work closely with NHS and other
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their own independent fellowship applications. The successful candidate will hold a PhD in igneous petrology, volcanology, geochemistry, or related geoscientific discipline and will have experience in
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professional experience and/or a postgraduate qualification, such as a Master’s degree or PhD, in Computer Science, Information Systems, Engineering, Mathematics, Business, Economics, Finance or another relevant
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, including methane emissions with the aim of developing greenhouse gas mitigations strategies. The successful candidate will have a PhD or equivalent professional qualification and experience in a relevant