68 computational-physics-"https:"-"https:"-"https:"-"https:" positions at Newcastle University
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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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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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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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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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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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Pharmaceuticals Supervisors Prof. Mike Waring and Dr. Hannah Stewart Eligibility Criteria We are adopting a contextual admissions process. This means we will consider other key competencies and experience
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Date 31st January 2026 Sponsor EPSRC , Eli Lilly Pharmaceuticals Supervisors Dr Hannah Stewart , Professor Mike Waring Eligibility Criteria We are adopting a contextual admissions process. This means we
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engineering, physics and applied mathematics. You should have experience in one or more of the following: numerical methods, high-performance computing (HPC), Computational Fluid Dynamics (CFD), applied
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, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
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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