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for an enthusiastic population health data scientist / epidemiologist / statistician / data and signal processing engineer committed to utilising data to improve population health, find out what works to build a
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the behaviour of fluid-driven seismic events and will develop a physically realistic model based on computer simulations, novel laboratory experiments, and comprehensive field observations. The resulting model
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website to verify the effectiveness of the framework. You will have a PhD in a relevant computer science and engineering discipline (e.g., Computer Vision, Artificial Intelligence, etc.). This post is
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recently developed in a commercial 65 nm CMOS imaging process by a large international consortium of engineers and scientists for the ALICE ITS3 upgrade and the future experiments, ePIC@EIC and ALICE3@LHC
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2.2Å cryoEM structure of this enzyme and aims to address a number of ambitious questions through well-informed point mutations and high resolution cryoEM structures. In addition to the isolated enzyme
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science, the environment that this creates is central to all of the group¿s work. You must therefore be able to interact effectively with colleagues with complementary skills (e.g. computer scientists or measurement physics
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relevant methods are population dynamics theory (e.g. integrodifferential equation models or point process models) and Bayesian statistical methods (customising routines rather than simply using Bayesian
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with experimental and computer scientists as part of the Leverhulme Centre for Functional Materials Design, which aims to change the way in which new functional materials are discovered. The environment
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the Department of Musculoskeletal and Ageing Science at the University of Liverpool. Our lab's interests lie in taking quantitative fixed and live-cell approaches to understand cell decision-making processes
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of organic materials. We seek a Postdoctoral Researcher to develop computer-vision methods to facilitate the automation of chemical reactions and characterisation. The aim is to automate where possible to free