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Field
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T cell recognition across a range of disease models, including cancer. We are looking for an individual with substantial experience in advanced computational data analysis and programming, with
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articles Co-developing new models and methods in the form of education and health toolkits Coordinating impact related activities with stakeholders Collecting impact evidence Social media and publicity
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modelling applied to biology. About you The successful applicant will be able to present information on research progress and outcomes, communicate complex information, orally, in writing and electronically
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complexes, you will realise optically addressable molecular spin qubits with unprecedented capabilities, opening up bottom-up control of single-qubit entanglement. Background. This position is part of a
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of the research programme. We’d like to hear from candidates with experience of mixed methods clinical research, co-designing or adapting complex healthcare interventions, knowledge of behaviour change
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) computational and AI-guided modelling. Our international collaborative network provides unique opportunities for cross-disciplinary training in innovative methodologies at the interface of neuroscience and
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to enable robust robot autonomy in complex, real-world environments. The post sits within our EPSRC Programme Grant in Embodied Intelligence and will advance the state of the art in localisation and scene
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modeling metabolic and inflammatory processes that drive liver disease progression. We are dedicated to advancing scientific knowledge and translating our research into real-world medical solutions, offering
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develop statistical and machine learning models to identify and validate predictive biomarkers of resistance evolution in Pseudomonas aeruginosa lung infection. As part of this work, the postholder will
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from Alaska-Aleutian coastal marshes and statistical and chronological models that allow reconstruction of the magnitude and timing of past relative sea-level (land level) changes at the Alaska-Aleutian