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networks. This position is part of a UK-Canada Quantum for Science collaborative project "Quantum network applications in theory and practice" funded by STFC/EPSRC (UK) and NSERC (Canada), led by Professor
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coordination strategies for them. Our recent work on RL and graph neural networks (GNNs) demonstrate some of our key research directions relevant for this position. A high degree of self-motivation, research
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broad aims of the group are to develop statistical methods, run applied analyses that address important clinical questions, and disseminate methods in the area of Mendelian randomization, defined as the
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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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well as in designing coordination strategies for them. Our recent work on RL and graph neural networks (GNNs) demonstrate some of our key research directions relevant for this position. A high degree of self
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interdisciplinary collaboration. The candidate will have the opportunity develop a large network of research collaborators based at universities and non-governmental organizations. The work is on site. There will be
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will assist with high-throughput CRISPR-Cas9 screens to explore sensitivity/resistance mechanisms in defined genetic backgrounds, followed by validation and ensuing mechanistic studies. Experience in
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metabolism and human physiology. Experience with clinical research and/or experimental medicine studies necessary. Analytical Skills: Proficiency in data analysis and statistical software. Experience with high