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computational simulation, supported by experimental investigations using test welds and novel material characterisation methods. This project is available from 1st October 2026. Applications are accepted until
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at a time, with each cycle of design, synthesis and testing taking months. This project will pioneer a faster way to do this: new chemistry methods that let around 100 candidate compounds be made
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statistical methods for adaptive learning, sequential decision-making, and control, motivated by applications in public health and epidemiology. The project will focus on methodological advances in
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qualification in a relevant discipline Good scientific writing Knowledge of advanced statistical methods. Good numerical and statistics skills and familiarity with text editing software, such as Word, Excel, etc
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this: new chemistry methods that let around 100 candidate compounds be made, purified and tested for biological activity together, in a single operation taking as little as a week. You will apply this new
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across historical, social science, and data science methods. While this studentship is grounded in historical and archival practice, candidates who wish to engage with quantitative, digital, or comparative
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, regulated and exploited in cancer. The balance between method development, cancer biology and computational analysis will be shaped around your strengths and interests. Applicants from a physical-sciences or
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structural dynamics, hydrodynamics, or marine systems Experience with programming or numerical tools (MATLAB, Python) A willingness to work across disciplinary boundaries Motivation to tackle open-ended, real
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You must apply through the University’s Apply to Newcastle Portal Once registered select ‘Create a Postgraduate Application’. Use ‘Course Search’ to identify your programme of study: Search
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to become an expert in both thin films and electrochemistry – fields that are key to numerous crucial technologies and sustainability. Depending on the task at hand, you will work independently, as a part of