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researcher to investigate the neural mechanisms underlying decision-making, using the fruit fly Drosophila melanogaster as a model system. Funded by the BBSRC, this project will combine innovative behavioural
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the methodology and experimental approaches, as well as being able to build on expertise in bacteriology, cell biology, structural biology and biochemistry in the group. You should hold, or be close to completion
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including protein purification, SDS-PAGE, and western blotting. The post holder should be familiar with bioinformatics tools and databases (BLAST, protein structure prediction tools) and have basic
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-centred embodied AI, specifically tackling challenges in multimodal perception, understanding and forecasting human behaviour, as well as advancing the navigation, manipulation, and social awareness skills
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the cellular and molecular mechanisms driving tumour development. In this role, you will support a team of scientists using genetically engineered mouse models (GEMMs) and transplantable tumour models (e.g
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Professor Chris Russell. This is an exciting opportunity for you to work at the cutting edge of AI, contributing to a major shift in how we understand and apply foundation models. The position is full-time
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-centred embodied AI, specifically tackling challenges in multimodal perception, understanding and forecasting human behaviour, as well as advancing the navigation, manipulation, and social awareness skills
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will deliver projects that leverage large-scale electronic health record data and rich cytometry data derived from full blood count analysers to develop and refine machine learning models to improved
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of research projects on human immunity against bacterial and viral infections using human challenge models. You will support the research of Post-Doctoral Scientists, whilst obtaining training in working
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form, how it is generated and how it evolves. In particular we focus on the evolution and evolvability of vertebral counts, and we use various species of Lake Malawi cichlids as our model organism