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The purpose of this Postdoctoral Role in Image Analysis is to collate and curate data from MRI and CT studies conducted on patients and volunteers, as part of the TBI-REPORTER initiative
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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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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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responsibilities of the successful candidate will include: Corpus transcription, annotation and analysis of audio recordings from teacher talk in primary school classrooms from different sites in India. Statistical
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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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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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nerve cord). The principal focus will be the development of open source tools for the analysis of connectomics data. This will include developing tools to improve the quality of neuron identification and
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application of comprehensive polar metabolite analysis methods. Scientists are encouraged to apply if they have substantial practical experience in the development of comprehensive quantitative methods
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modelling to study the causes and consequences of extreme chromosomal instability in these cancers. The role will involve: - Learning and applying cytogenetic methods for generation and analysis of chromosome
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, physical scientist with a good track record at problem solving using numerical models. The successful candidate will be engaged in both the development and analysis of extended functionality to better