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Institute). The position is fixed term for 36 months and will provide opportunities to work on aircraft icing modelling and experimental campaigns. Ice crystal icing is one of the least well characterised
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Science, Robotics, AI, or a related field Strong background in machine learning and robotics, with specialisation in one or more of the following areas: generative models, reinforcement learning, human-centred AI
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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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Science, Robotics, AI, or a related field 2. Strong background in machine learning and robotics, with specialisation in one or more of the following areas: generative models, reinforcement learning, human
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of the microbiome in olfaction using mouse models. The selected applicant will join the vibrant and friendly Tucker lab and work as part of a team interacting with the group of Prof Mike Curtis. The Tucker and Curtis
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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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The Opportunity: We are seeking a post-doctoral fellow to develop ‘genome surgery’ approaches to correct patient-modelled variants in cell-based and in vivo models as part of our recently launched
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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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vitro and in vivo infection models, and both microscopy and flow cytometry-based readouts of infection to develop their independent research project and will also be expected to collaborate more widely
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international, competitive research environment High level analytical capability Ability to communicate complex information clearly Fluency in relevant models, techniques or methods and ability to contribute