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nanofabrication as well as stem cell culture and differentiation is highly desirable. About the School This post is within the School of Engineering and Materials Science (SEMS) at Queen Mary University of London
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: molecular biology, C. elegans maintenance, genetics, and transgenics, live fluorescence microscopy and biochemistry. See https://www.davieslab.org for more information about the Davies lab's research
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chemistry and biocatalysis. The post holder will be linked into the SCHEMA Hub, and will liaise with other researchers on the wider project to share research findings. There will be a range of opportunities
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: molecular biology, C. elegans maintenance, genetics, and transgenics, live fluorescence microscopy and biochemistry. See https://www.davieslab.org for more information about the Davies lab’s research
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Population and Data Science. The Institute was ranked the number one place in the world to study ophthalmology (CWUR 2017 world rankings), attracting principal investigators, post-doctoral fellows and PhD
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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these processes, with the aim of understanding how ageing promotes CH progression. You will hold a PhD within the area of molecular biology or have thesis submitted at time of application, and will have experience
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in Paris and Warsaw. The post holder will work directly with Prof. Simon Cornish (Physics) and Prof. Jeremy Hutson (Chemistry), and their research teams in the Quantum Light and Matter group
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. Armed with this information, the post holder will use cutting-edge paleoclimatic modelling that incorporates nutrient cycling and carbon chemistry (HadOCC) to infer the distribution of potential feeding
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Postdoctoral Research Associate: An exploration of the relationship between funding and medal targets, and athlete experience. ( Job Number: 25000663) Department of Sport & Exercise Science Grade 7