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our software development team, developing novel scientific algorithms and applications in the areas of spectroscopic analysis and mining of the science data catalogues extracted from the pipelines
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An exciting opportunity has arisen for a talented computer scientist to join our team as a researcher within the Green Algorithms Initiative in the Department of Public Health and Primary Care, one
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modern Bayesian modelling frameworks such as Stan, Turing.jl, and PyMC, including automatic differentiation frameworks, MCMC sampling algorithms, and iterative Bayesian modelling. Special attention will be
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dynamics and tissue morphogenesis during embryo development using cellular, molecular and mechanical approaches. Cell movements underlie tissue patterns and shapes. Using chick embryos as the model system
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holder will work on a project to develop a 3D in vitro model of the gastrointestinal tract. Physiologically relevant, multi-cellular models of gut are necessary to accurately model disease. We propose
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humanities team in the project to develop an annotation tool for Zoroastrian Dari oral recordings. Contribute to the linguistic annotation of Zoroastrian Dari texts and recordings. Contribute to corpus
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The Forbes Mellon Librarian has overall responsibility for the management, development, and planning of the Forbes Mellon Library, Law Reading Rooms, and College Archives, ensuring the delivery
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a project aimed at developing more exoelectrogenic cyanobacterial strains. The project involves the creation of large mutant libraries of cyanobacteria and automation of screening for electroactivity
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bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
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the discoveries and breakthroughs at the Institute and also provides them unique opportunities to develop a wide range of skills and experiences. Cancer Research UK is passionate in finding new ways to further our