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create a working framework that includes both experimental and modelling prototypes, including AI/ML tools to assist with the large number of variables involved. This project is seeking candidates with a
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. Fe, S) on CNT purity and structure. Evaluate CNTs as conductive additives in standard Li-ion battery electrodes. Apply AI/machine learning to optimise experimental design and growth parameters
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lead to transformational developments for the chemical industry and associated energy technologies. This project, which is funded by the Royal Academy of Engineering, will involve the selection
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holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you. Closing Date: 24 September 2025 The Role This role offers
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focus groups and interviews with regulators, manufacturers and engineers, and deriving analytic insights into material perceptions and values. In addition, they will oversee the assessment of the capacity
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are essential. An additional background in analytical chemistry or physics, as well as experience with practical lab work (e.g. from a previous Masters degree) are advantageous. Interested students are strongly
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recordings Familiarity with neuroanatomy and neurophysiology Knowledge of dynamical systems theory Excellent analytical and problem-solving skills Desirable criteria Advanced programming and data analysis
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holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you. Closing Date: 29 August 2025 The Role Based in the Wolfson Childhood
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in 2020 to lead innovative solutions for the global energy transition. At CAPTURE, you’ll benefit from: (a) State-of-the-art laboratories and world-class expertise in materials science, battery
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successful applicant will also be part of the MathRad research network on mathematics of radiation transport, which has groups at the Universities of Warwick, Bath, and Cambridge. Number of awards: 1 Start