28 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at Durham University
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Award. The Role We are seeking a highly motivated researcher - either a Grade 7 PhD holder, or a Grade 6 graduate - to join the IMPACTS project, funded by the Northern Net Zero Accelerator. The project
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recognised research environment (REF2021). Our basic science underpins applications across each-and-every sector of the bio-economy, including Biotechnology, Ecology and Agritechnology. Research programmes
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Criteria: Qualifications A good first degree in Mathematics, Physics or a related subject. A PhD (or be close to submission) in Applied Mathematics, Solar Physics, or a related subject. Experience Experience
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. Qualifications • A good first degree in Physics, Mathematics or a related subject. • A PhD (or be close to submission) in Physics, Mathematics or a related subject. 2
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and PhD students. Research spans a wide range. Current interests include: Bayesian statistics; modelling of structure, geometry, and shape; statistical machine learning; computational statistics; high
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Criteria: Qualifications A good first degree in Physics or Mathematics. A PhD (or be close to submission) in Theoretical or Mathematical Physics or a related subject. Experience Experience in conducting high
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implementation of deep learning and computer vision frameworks across a range of research projects. This includes developing and training deep learning models for tasks such as scene understanding, object
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University Guide 2024, and ranked 4th for impact in REF 2021. Due to the reach and scope of the Contextual Safeguarding programme most team members work to a hybrid working model, with research underway in
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. · A PhD (or be close to submission) in atomic physics or a closely related area. 2. Experience · Experience in conducting high quality academic research. · Demonstrable ability
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made to support people within their role. Person Specification Essential Criteria: Qualifications 1. A PhD (or be close to submission) in mathematics or a related subject. Experience 2. Experience