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Applications are invited from PhD studentship candidates with good first degrees in computer science, physics, maths, biology, neuroscience, engineering or other relevant disciplines to join
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assembly of foldamers often lack the mechanical properties required for their optimal performance as biomedical devices. Polymers have recently emerged as a promising class of materials for biomedical
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and optimization of machine learning methods. Candidate’s profile An ideal candidate would typically have: a strong degree or higher qualification in a relevant field (e.g. computer science, mathematics
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thermodynamically. Performance design optimization and advanced performance simulation methods will be investigated, and corresponding computer software will be developed. The research will contribute
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particular, we will use topology and shape optimisation methods to compute the optimal domain shapes that can stabilise solutions with desired/prescribed properties. We will use methods from inverse problems
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: Establish a tailored enzyme panel for site-selective late-stage functionalization of complex NP scaffolds. Optimize biocatalytic reactions to generate a focused library of new NP analogues. Evaluate
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this project will deliver unique knowledge to develop strategy aiming at enhancing root nodule symbiosis and, thus optimizing nitrogen nutrition, whilst ensuring long-term agricultural sustainability. To achieve
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communities are correlated with take-all severity Using these insights, you will target key microbial players for isolation and perform microbiome swaps to interrogate what an ‘optimal’ community of bacteria
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state estimator subject to different state estimation tasks in eVTOLs? 2- How can AI, MPC, and optimization be utilized to develop a resilient EMS that meets the development challenges of eVTOLs? Key
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, there is a critical need to develop and implement life cycle carbon accounting tools and optimization techniques tailored to the specific operations and materials used in the pipe industry. This PhD is co