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not limited to: electronic structure methods (density functional theory and "beyond"), classical atomistic, and machine learning methods. The duties/responsibilities of this post include developing and
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measurements and methods for the characterization of the materials structures, compositions, and functionalities. The position is advertised for 3 years. Your future tasks: You actively participate in research
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regular arrays to probe novel quantum phenomena in strongly interacting quantum systems. The use of molecules is motivated by their rich internal structure, combined with the existence of controllable long
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-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
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. Desirable: F1. Experience with structure determination using X-ray crystallography or cryo Electron Microscopy. Informal enquiries should be directed to Professor Helen Walden, Helen.Walden@glasgow.ac.uk
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. The successful applicant will design and synthesise new hypervalent iodine reagents. In-depth stability and reactivity studies will be carried out to understand structure-stability and structure-reactivity
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Human Resources Department can be contacted by email at: recruitment@rhul.ac.uk To find out more about Dr Kaili Rimfeld, please visit the https://pure.royalholloway.ac.uk/en/persons/kaili-rimfeld
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, including the general public. The successful candidate will hold a PhD in Biochemistry, experience in structure and biophysics-guided drug discovery, and in relevant methodology such as X-ray crystallography
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pipelines will include structural imaging, multi-shell diffusion, susceptibility weighted imaging and functional MRI. These analyses will make use of publicly available tools, and may also require software
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pipelines will include structural imaging, multi-shell diffusion, susceptibility weighted imaging and functional MRI. These analyses will make use of publicly available tools, and may also require software