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- bermet.ishenbekova@ucentralasia.org
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Field
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performance computing systems in a way that is suitable for operational use. Implement and test different ML architectures, such as convolutional and encoders-decoder ANNs for predicting flooding in Bihar and
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work on the INSTINCT-MB programme, which brings together teams based at Newcastle University, The Institute of Cancer Research and University College London. The programme will generate a wide range of
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computational workflows on a high-performance cluster. You will test hypotheses using data from multiple sources, refining your approach as needed. The role also involves close collaboration with colleagues
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automation of organic and inorganic self-assembling systems . The successful candidate will have a PhD in either inorganic or materials chemistry with some experience of Programming, computer science and
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on performance and safety, for example, through the efficient computation of Lyapunov and barrier functions, forward and backward reachable sets, optimal value functions etc. The broad goal is to build upon recent
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AMPs demonstrating high efficacy against several pathogenic microorganisms, a gap remains in demonstrating their potency against wound pathogens, especially antibiotic-resistant strains. This project
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Business directorate that works closely with our academics providing specialist support for external engagement and development Our Exeter Academic initiative supporting high performing academics to achieve
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, communication disorders and clinical applications, translation and interpretation, bilingual business communication, language education, and language technology with computational innovations. Central to its
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diffraction and computed tomography experiments, including Rietveld refinement. A track record of high-quality research outputs and a demonstrable commitment to research excellence. Experience in
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spectroscopic data analysis. This role forms part of a larger research effort exploring advanced polymer processing techniques and data driven methods to improve material performance and manufacturing efficiency