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This website stores cookies on your computer. These cookies are used to collect information about how you interact with our website and allow us to remember you. We use this information in order to
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pension schemes and a number of health and wellbeing initiatives to support you. Closing Date: 24 November 2025 The Role We are looking to appoint a Research Assistant / Associate in Computational Chemistry
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the School’s Doctorate in Clinical Psychology (DClinPsy) programme. The DClinPsy programme is accredited by both the BABCP and AFT for its specialist therapy pathways. The post holder will liaise with colleagues
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and deploy machine learning solutions on edge computing platforms. In this role, you will be responsible for integrating, optimizing, and deploying machine learning models on resource-constrained
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and supervision duties across a range of the School programmes, initially with a focus on the pharmaceutics components of the MPharm and the MRes in Drug Delivery and Nanomedicine programme • To
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, including the Faraday Institution, Europe and North America. Our ambition is to develop and apply state-of-the-art computational techniques to provide a fundamental understanding of structure, dynamics and
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for two experienced Transformation Workstream Leads. You will lead the successful delivery of strategic transformation initiatives within a university-wide programme, ensuring that each workstream achieves
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undertake teaching, leadership and supervision duties across a range of the School programmes, with a focus on work-based learning within the MPharm programme • To develop a programme of research, which
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undertake teaching, leadership and supervision duties across a range of the School programmes, with a focus on work-based learning within the MPharm programme • To develop a programme of research, which
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outline how you meet the essential criteria of the role and evidence this with examples. Key Accountabilities Contribute to the research programme in the field of Bayesian computational statistics as part