31 communication-engineering "https:" "https:" "https:" "https:" "https:" "https:" "https:" uni jobs at University of Glasgow
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including delivery of technology-enhanced learning and teaching. C5 Ability to motivate staff and provide strong academic leadership. C6 Excellent communication skills, both written and oral. C7 Excellent
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throughout the fellowship. Main Duties and Responsibilities 1. Develop a comprehensive understanding of clinical workflows relevant to the health technology under operation. 2. Proactively engage with clinical
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not only a good foundation in basic molecular and cell biology, but also a willingness to learn the language and science of chemists, materials scientists, engineers and surgeons. The project will vary
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salmonid aquaculture [1-3] and there is an urgent need to mitigate the impact parasitic infections have on both fish welfare and sustainable growth in the sector. Development of vaccine technology over
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environmental responses. Plants monitor light and temperature changes via a suite of sensory proteins that initiate signaling cascades. During this project we will utilize a combination of engineered photosensors
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Neuroscience https://doi.org/10.1038/nn.4465 Lomi, E., Jeffery, K. J., & Mitchell, A. S. (2023). Convergence of location, direction, and theta in the rat anteroventral thalamic nucleus. IScience https://doi.org
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to understand the fundamental mechanisms of inflammation triggered by permeabilized mitochondria. It will entail a variety of cutting-edge methods including genome-engineering, high-resolution microscopy and in
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salmonid fish. Molecular Ecology, 30 (20), 4955–4969, https://doi.org/10.1111/mec.15817 . Jacobs A, Carruthers M, Yurchenko A, Gordeeva NV, Alekseyev SS, Hooker O, Leong JS, Minkley DR, Rondeau EB, Koop BF
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are characterised by personal and professional challenges in area related to language, culture, education and training and belonging. Overcoming these challenges leads to personal and professional growth
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lung cancer combining high-plex imaging, spatial data analysis, and machine learning. One arm of the project will seek to engineer diverse quantitative features (e.g., adapting concepts and metrics from