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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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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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for a short-term appointment to support a pioneering project at the intersection of pharmaceutical science, drone technology, and healthcare innovation. This role aligns with the university’s strategic
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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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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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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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data from patient samples, including DNA methylation, histone modifications, single-cell transcriptomics and chromatin accessibility. You will contribute to the study and sequencing design, collaborate
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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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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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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