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previously: the Khumbu catchment in Nepal, the Kangri catchment in Ladakh, and the Heihe catchment in the Qilian Shan. Using insights from these catchments, we will extend our analysis to cover all major
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bottom-up approaches for investigating the mechanisms of chaperone-mediated protein folding. Your responsibilities will include: conducting independent experimental work and perform data analysis
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students and senior researchers from multiple disciplines to tackle challenges in sustainable aluminium through AI-driven microstructural analysis. The NEST-WISE project offers a vibrant collaborative
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and competitions. The University of Bristol seeks an aspiring researcher with an engineering, physical sciences or mathematical background and an aptitude for practical implementation of cutting edge
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; EPSRC Centre for Doctoral Training in Green Industrial Futures | Bath, England | United Kingdom | 2 months ago
performance. Throughout this PhD, the successful applicant will gain expertise in cutting-edge modelling approaches and experimental techniques including: Thermogravimetric Analysis (TGA) with Mass Spectrometry
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) Computer Science/ Mathematics/Physics and at the second cycle level, 60 credits in Life Science, Computer Science Mathematics, Physics or Bioinformatics including a 30 credit Degree Project (thesis). Additional
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. They will participate in the design and analysis of numerical experiments that will help explore the sensitivity of the model when input parameters (chlorophyll-a and -b content, leaf area index and
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analyses, mathematical modelling, or data analysis. But whatever the research approach, the goal would be to influence UK policy that increases protection of the UK population from current or future emerging
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science with demonstrated experience in quantitative analysis. We are looking for a range of talents and expertise, including in machine learning, mathematics, or statistics. Experience with one of the focus
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reuse of energy systems analysis processes. In line with FAIR and Linked Open Data principles, you will design interfaces that enable the smooth processing of big data in the context of scientific, AI