61 computational-physics-"https:"-"https:"-"https:"-"https:"-"CEA-Saclay" positions at Newcastle University
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-generation regenerative materials. This interdisciplinary project combines mechanical, materials, and biomedical engineering, offering training across fabrication, nanomechanical analysis, and computational
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collaboration between the Process Intensification Group (PIG) and Materials, Concepts, and Reactors group (MatCoRe), so the successful candidate will be well supported. Additive manufacturing/3D printing and Net
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allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview This PhD will develop a Synovium-on-a-Chip, using 3D bioprinting, microfluidic engineering, and computational
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. Patrick Degenaar Eligibility Criteria We are adopting a contextual admissions process. This means we will consider other key competencies and experience alongside your academic qualifications. An example
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are adopting a contextual admissions process. This means we will consider other key competencies and experience alongside your academic qualifications. An example can be found here . A minimum 2:1 Honours degree
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motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical engineering, physics and applied mathematics. You should have experience in one or more
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School of Mathematics, Statistics and Physics at Newcastle University hosts active research groups within Mathematics, Statistics, Data Science and Machine Learning. We are offering three funded PhD
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, synthesise and test the compounds. Using traditional methods, the equivalent process would take months. These approaches will be applied to optimisation of drug candidates for selected cancer targets
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they replicate the responses seen in people. 3D bioprinting techniques are an exciting set of fabrication technologies which build on the principles of 3D printing, but which can process cells and other biological
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resources in North and East England, using a combination of physically-based hydrological modelling tools and water system models. The framework will be used to produce more transparent and physically