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research. The project will involve computational modelling using physics- and machine learning-based methods and would suit a top student with a background in Physics, Engineering, Mathematics or similar
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such as research communication, computing and data science, and professional progression through our Early Career Researcher Institute .Additionally, you will be expected to attend cohort and training
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interest in sustainability. Your academic background can be physical chemistry, materials engineering, chemical engineering, or physical sciences. All applicants must meet the minimum English language
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-on experience with real-world SCADA data, industry collaboration with RES Group, and training in high-fidelity simulation environments (OpenFAST, Digital Twin technology). This opportunity is ideal for those
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sweat distribution across impairment groups which may inform future clothing design for improved thermoregulation. Additionally, it will explore cooling interventions, using computational modelling
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in the USA. The main project for the student will be the computation of the properties of hadrons using lattice QCD and high performance computers. The PhD student will further investigate the use
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entrants without historical data for their land use technology differently compared to those with established practices? This interdisciplinary project offers the chance to contribute to multiple fields
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postgraduate degree in computer science, human factors, psychology, social science or a health or social care related subject. Funding notes: This PhD scholarship is available for home students only
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. Familiarity with data analysis and statistical methods relevant to biological sciences. Basic knowledge or keen interest in bioinformatics, computational biology, or data science approaches. Experience
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testing and computational modelling. You'll become part of a diverse, multidisciplinary team that prioritises equity, diversity, and inclusion, gaining specialist expertise in hydrogen-material interactions