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Field
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society and to realising our vision of making the world a better place. The Lord Lab is based in the Centre for Gene Therapy and Regenerative Medicine (CGTRM) within the Faculty of Life Sciences & Medicine
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. The candidates will lead research projects related to Type Ia Supernova cosmology, with a focus on data from Rubin, 4MOST and Euclid data. Candidates will lead research projects in Type Ia supernova cosmology
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FAccT and AIES), as well as policy fora. Applicants should have completed, or be near completion of, a PhD in Computer Science, Information Engineering, Statistics, Machine Learning or a closely related
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/DPhil in robotics, computer science, machine learning, informatics, AI, or a closely related field. You will have an excellent academic track record in topics relevant to locomotion and manipulation; path
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The postholder will lead a programme investigating sensorimnemonic decisions: how people decide between using information held in memory vs using the external environment, during extended
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of new treatments including in vitro and in vivo proof-of-concept efficacy data. This is an opportunity to work across multiple disciplines spanning retinal biology, viral vector technology and
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quantitative data analyses in psychology, computer science, bioethics, or a relevant empirical social or cognitive science discipline. Knowledge and experience conducting psychometric analyses is desirable
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, demonstrating strong proficiency in electronic structure calculations, high-performance computing (HPC), and code development for molecular spectroscopy. This full-time, 3-year position supports the STFC-funded
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in analysing and interpreting complex genomic data, integrating computational and experimental findings to advance our understanding of gene function in the developing brain and support the development
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successful in this role, you will hold (or be close to completing) a PhD/DPhil in machine learning, artificial intelligence, computer science, epidemiology, health data science, or a related quantitative