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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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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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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
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programme +2 - covering 2 years of study for current postgraduate researchers 1+3 - covering Master's and Doctoral study Please see Additional Information for 1+3 and +2 application processes. Tenable period
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deliver world class turbine testing at TRL 6 level in the Whittle Laboratory's new National Centre for Propulsion and Power. This will require you to create and execute engineering design, computational
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The PhD research project is an EPRSC Industrial Cooperative Awards in Science and Engineering (ICASE) with Constellium, a global leader in the development, manufacturing, and recycling of aluminium
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not essential, as training will be provided): Either an excellent undergraduate degree or an MSc/MRes in Chemistry. Experience in materials synthesis, computational modelling and/or electrochemistry
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degree (or equivalent) and/or a relevant postgraduate masters’ qualification (MSc) in materials science, engineering, mechanical Engineering, chemical Engineering, physics, or a related discipline. (E
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background in Computer Science, Mathematics. Students with interests in machine learning, deep learning, AI, uncertainty quantification, probabilistic methods are encouraged to apply. For eligible students
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Training Programme in Microbial Genomics for Health Protection in collaboration with the UK Health Security Agency (UKHSA). This is funded by NIHR as part of a Health Protection Unit in Public Health