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is led by Professor Mauro Giacca and comprises over 65 clinical and non-clinical academic groups, hosting 400 personnel and 110 PhD students. Our community of world-renowned researchers and educators
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neurosurgical centre. In this role the successful candidate will develop deep learning algorithms & validate models on diverse clinical data which include magnetic resonance imaging (MRI) and computed tomography
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, data generation and analysis, and scientific communication. We welcome applicants with a background in any of the following areas: Cancer immunology or vaccine development; Single cell genomics
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conducting both quantitative and qualitative research, including data collection and analysis Proven ability to obtain ethics and research governance approvals for human subjects research Track record
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take responsibility for the planning, execution and analysis of high-quality research, ensuring the validity and reliability of data at all times and will maintain ongoing scientific discussion with
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connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations of a new, model and methodology for Advanced wind
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field such as psychology, mental health, behavioural science, digital health, or a related discipline Experience working with quantitative data and relevant software for data management and analysis (e.g
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for the development of the autonomous quantum processing unit (AQPU) as follows: Carry out design, experiments, and/or data analysis on specific research topics that we consider most important for realizing the AQPU
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, particularly those involved in the analysis of digital topographic data and in field-based earthquake geology. The post is funded until 31 March 2027, with a possibility for longer term extension contingent
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attached to the project. The successful applicant must hold a PhD/DPhil in a relevant subject. They must have peer-reviewed publications using data science approaches, for example, genetic analysis