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cell (myofiber) omic platform — developed by the PI — to interrogate ALS pathogenesis at an unprecedented level of resolution. By simultaneously analysing multiple data sets (MANT-ATP, methylome
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their own research interests aligned with the project themes. Key responsibilities include: Conducting rigorous and collaborative research, including literature reviews, interviews, and participatory
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simulation. You will be expected to manage your own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines
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vetted and monitored. The University of Glasgow’s PVG policy aligns with the Disclosure (Scotland) Act 2020 and reflects the legal requirements effective from 1 April 2025, including the mandatory PVG
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will be the analysis of virus sequence data generated through our surveillance activities. Surveillance will be based on next-generation sequencing of viral RNA/DNA extracted from wastewater samples. We
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addresses subsurface uncertainties and evaluates commercial viability, promoting regional awareness and policy development for strategic alignment with regional and governmental priorities in relation to Net
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multiple aspects of work to meet deadlines. The candidate will take part in the academic life of BIPAC and the astrophysics group at the Physics Department, and in particular attending and taking part in
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the lab existing genome sequence data for fungal plant pathogens within the Dothideomycete family. The lab has an existing fungal collection of over 40 strains collected from wheat, wild-grasses and barley
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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles
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with aligning and/or building laser setups Excellent command of written and spoken English and German Ability to work independently and collaboratively Publications in renowned, subject-relevant peer