654 data "https:" "https:" "https:" "https:" "ETH Zürich" Fellowship positions in United Kingdom
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area with the potential to drive significant improvements in health and healthcare. You will be based within the Leeds Institute for Data Analytics and part of the Leeds Institute for Cardiovascular and
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to represent the diversity of the world’s talent. 12% of Institute staff are actively working on EDI initiatives; visit https://www.ucl.ac.uk/ion/equality-diversity-inclusion for more information about what
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. You will work closely with technical teams to incorporate transcriptomic, proteomic, and other omics approaches, ensuring alignment across models and high-quality data generation to support robust
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assurance/insurance frameworks, including algorithmic insurance contracts, parametric insurance structures, and data-driven risk quantification methods (e.g., conformal prediction and inverse conformal
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. PenARC is a collaboration between the Universities of Exeter, Bristol and Plymouth, with academic staff working across three sites. For more information about our work please visit: https://www.arc
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, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. You can read more about our commitment to Equality, Diversity and Inclusion here : https
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. The work will be carried out within the Endomembrane Structure and Function Research Lab https://www.brookes.ac.uk/research/units/hls/groups/endomembrane-structure-and-function) in the School
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nanopore- and optical-based platforms to study biomolecular processes at the single-molecule level, with a focus on proteins in native environments. You will take a hands-on role in experimental design, data
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. This prestigious Fellowship is aligned with the new Centre for Drug Discovery (CDD), a cross-faculty initiative bringing together chemists, biologists, data scientists and engineers to accelerate drug discovery
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and managing aspects of an academic lab Proven track record of research in their area of expertise on alternative proteins or closely related area Experience in analysing biological experimental data