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collaboration with the Translational Gastroenterology Unit (TGU) and the Ludwig Institute of Cancer Research (LICR) we aim to develop a computer guided endoscopy image recognition system that will support
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also have a strong publication record in a related field, and possess sufficient specialist knowledge in the discipline to work within established research programmes. You will have the ability
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interaction, safe exploration, long-term monitoring). You will be responsible for developing new techniques for single- or multi-agent decision-making under uncertainty in the context of autonomous systems
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of spray droplets by the action of wind over ocean waves (i.e. spume). In this role, you will develop numerical, experimental, and (ideally) theoretical models within the topic of surfactant-laden droplet
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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advanced functional genomics, transcriptomics, and proteomics approaches, you will develop novel therapeutic strategies for cancer immunotherapy. You will be responsible for managing your own academic
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, attack surfaces, defensive mechanisms and related topics to the safe deployment of systems contain multiple LLM and VLM powered models. You will be responsible for Developing and implementing; capability
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relevant assays to interrogate dysregulation induced in iPS-neurons by exposure to material from Alzheimer’s brains. You will develop an iPS-neuronal-microglial co-culture screening platform that can assess
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mathematics or a related discipline, and possess sufficient specialist knowledge in the discipline to work within established research programmes. Excellent communication skills are essential, including
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of progression to secondary acute myelogenous leukaemia (sAML). You will take a lead on developing data analysis approaches to search for targetable genetic, epigenetic, or epitranscriptomic mechanisms