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Field
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and screen genetically encoded peptide libraries in cancer cell models, with the aim of identifying molecules and mechanisms that influence cancer cell behaviour. The role offers an excellent
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, and embedding sustainable, high-quality operating models. As part of the role, you will: lead a complex, institution-wide transformation programme covering system implementation, process design, and
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support for the lab Job Requirements: Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or related field Knowledge and experience in world model, computer vision and deep learning
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, numerical modelling, data processing, and the preparation of research reports. Organizational Status Reports to the Professor and the Research Associate responsible for the project. Works collaboratively with
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combines large language models, real-world data, behavioral science, and theory-driven modeling to build realistic and interpretable simulations for emergency planning and risk communication. The student
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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responsible for generating and analysing data from lab-based activities. These activities will involve heterologous expression of fungal effectors in model yeast and plant systems. All work activities will be
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beyond covering course fees and living costs, as such, the programme support includes providing bespoke leadership training programmes, networking opportunities, and tailored support for students before
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recognises that meaningful support extends beyond covering course fees and living costs, as such, the programme support includes providing bespoke leadership training programmes, networking opportunities, and
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at the BGSH benefit from a rich scholarly exchange, joint workshops and research seminars, and a vast international and interdisciplinary network. Moreover, the BGSH offers further instruments to pursue your