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of other species, like H2 O. By following this strategy, encapsulated solvents (sorbents) should keep their own performance by taking advantage of the high surface area of the shell. The proposed beads
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We seek to appoint a Postdoctoral Research Associate/Fellow to work in a vibrant and multidisciplinary project funded by the EPSRC Working with Centres Programme under the supervision of Dr Anabel
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, and access to leading high-performance computing facilities. • The valuable opportunity to join a cohort of innovative scholars collectively shaping the future of AI, through the cross
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low-coverage whole genome data Experience performing species delimitation models and understanding multi-species hybridization Proven ability to work with large datasets Experience working on a high
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of Quantum Computing (EPIQC) with Prof. Chong Li . Specifically, the job requires expert knowledge and hands on experience in design,fabrication and characterisation of microwave devices transistors and
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and impact related to two EPSRC funded projects: ResTOrES (Resilience Toolkit for Offshore Energy Systems) and RENEW (Climate Resilient Heat Electrification for Net-Zero Emission Whole Energy). The
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of the eukaryotic cytoskeleton and/or virology General proficiency in computing, including an understanding of high-performance computing clusters Downloading a copy of our Job Description Full details of the role
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experimental medicine studies focusing on energy homeostasis and glucose/lipid homeostasis Data Collection & Analysis: Perform in vivo metabolic testing, blood sample and tissue analyses, and molecular biology
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cytometry will be an advantage. The project has a major computational component both for AI-driven modelling and predictions, and for bioinformatics analyses of wet-lab data. This will be performed by
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can be engineered to improve Rubisco's catalytic activity. The research programme will provide insight into direct molecular responses to carbon dioxide in prokaryotic and eukaryotic photosynthetic