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Materials Discovery group is looking for a postdoctoral researcher working in the field of machine learning of electronic structure and computational materials discovery. In this role you will be performing
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-state mass spectroscopy, isotope geochemistry labs, X-ray diffraction and mineral spectroscopy are available within the faculty, and the successful candidate would also have access to high performance
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the cathedral’s sculptural embellishment from the 13th and 15th centuries in relation to its architectural setting, use, and function within performative and spatial contexts, as an evolving, accumulative ensemble
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for results. You should already have significant programming experience. Additional knowledge in High-Performance Computing or Machine Learning is an advantage. The start date of the contract is negotiable
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for results. You should already have significant programming experience. Additional knowledge in High-Performance Computing or Machine Learning is an advantage. The start date of the contract is negotiable
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are a young and enthusiastic team that focuses on developing new diagnostics and therapeutics for positron emission tomography and single-photon emission computed tomography. We are a highly
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skills Additional skills that would be an advantage: • Programming and data analysis experience • Experience with working on high-performance computers What we offer: A longer-than-average PhD
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all aspects of transport in the atmosphere, ranging from greenhouse gases to pollutants, water vapour and heat, and uses inverse modelling techniques to determine sources of greenhouse gases, air
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Differential Equations, enriched with data-driven methodologies -- a powerful combination that’s redefining what’s possible in computational science, and is playing a crucial role in tackling some of today’s
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research and teaching in molecular simulation and computational materials discovery. Fuel cells, photovoltaic devices, photocatalytic converters – they all are crucial elements in delivering decarbonization