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science, statistics, physics, or a related discipline, and have experience of analysing and interpreting multidimensional biomedical datasets, particularly cancer data and/or spatial data. You will have a
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, computational biology, physics or a related discipline, and have experience of agent-based and/or continuum modelling, analysis and simulation. You will have experience of programming in Python and C
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emulators of similar datasets (e.g. Gaussian Process methods by the project lead). These results will inform the IPCC AR7, and adaptation and mitigation policymaking by other global stakeholders. You will be
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some criteria will be considered at the shortlisting stage, other criteria may be considered later in the assessment process, such as questions at interview. Submitting your application We prefer
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to contribute to them will also be considered. This project has a strong emphasis on applications on physical robots, experience and appetite to face the challenge of applying learning algorithms on physical
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research in a collaborative and intellectually stimulating environment. Application Process You will be required to upload a supporting statement (setting out how you meet the selection criteria), a
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of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further information We pride ourselves on being inclusive and welcoming. We
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in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Further
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Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD
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, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. * Please note that this is a PhD level role but