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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
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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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directly involved in this project. Applicants will have essential knowledge and significant bioinformatics expertise in analysing genomic and transcriptomic sequencing datasets in vertebrate or mammalian
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live in a community which is supportive and inclusive. It’s important to us that all of our colleagues are aligned to both our values and commitment to EDI. We welcome and encourage applications from
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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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Responsibilties Conduct and disseminate original research aligned with the project and in collaboration with the team Undertake design, assembly and testing of systems and components with a key focus on product
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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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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 contribute to the design, delivery, and dissemination of project activities, while also developing their own research interests aligned with the project themes. Key responsibilities include