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familial hypercholesterolemia Job description With your research you will contribute to the development of novel risk assessment and patient stratification tools for familial hypercholesterolemia (FH
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studies independently, working with diverse datasets, developing algorithms and decision rules, and contributing to the refinement of data-driven intervention strategies. Tasks As a postdoctoral researcher
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this position will be to provide in vitro biochemical, biophysical and structural data from novel mutants of the EGFR kinase domain to drive and validate algorithmic development. Organisation The vacancy is
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partners. The successful applicant is expected to carry out research on the algorithmic foundations of digital platforms for large-scale deliberation. The research has the potential to directly inform the
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consolidation work flows; analyse and scale carbon dioxide and methane flux data from multiple locations and transects in relation to explanatory variables from vegetation and soil characteristics, land and water
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on the resulting algorithms and pipelines. As an emerging paradigm, differentiable programming builds upon several areas of computer science and applied mathematics, including automatic differentiation, graphical
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a large interdisciplinary consortium of digital democracy researchers as well as several societal partners. The successful applicant is expected to carry out research on the algorithmic foundations
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and computing, to apply. One position will focus on the scaling, calibration, operation, and tuning of spin qubit arrays using algorithmic techniques, as part of an international project, with
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Postdoc in Carbon Capture, Utilisation and Storage Techno-Economic Assessment Faculty: Faculty of Geosciences Department: Department of Sustainable Development Hours per week: 36 to 40
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English and strong academic writing skills; A systems-thinking mindset, with the ability to integrate insights from multiple domains and contribute to a cohesive research framework You can see that