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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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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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Fixed-term: The funds for this post are available for 36 months in the first instance. We are looking for a Post-Doctoral Research Associate (PDRA), with a PhD in Physics, Materials Science or
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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 embrace diversity and want
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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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from all backgrounds to join our community. At the Department of Applied Physics, our pioneering research in physical sciences creates important industrial applications that hold great technological
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the physical and life sciences at the Science and Technology Facilities Council (STFC). Our suite of neutron and muon instruments gives unique insights into the properties of materials at the atomic scale. We
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A position exists for a Post Doctoral Research Associate in the Department of Applied Mathematics and Theoretical Physics, funded by the High Energy Physics group's STFC Consolidated grant