738 web-programmer-developer-"St"-"Washington-University-in-St"-"St" Fellowship positions in United Kingdom
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investigates how the unique capabilities of quantum computing can be leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand
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expected to plan appropriately for their own future career development, which may include networking and submitting funding applications. This is a fixed term post of up to 20-months duration. Main Duties
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of this role will be in materials characterisation, including isotope geochemistry, chemical and elemental analysis, and the development of mass spectrometry techniques as a part of the RICHeS programme (https
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research programme at King’s, focussed on establishing a competitive research niche and positioning them to apply for intermediate-level post-doctoral fellowships to consolidate their careers, from Research
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of this role will be in materials characterisation, including isotope geochemistry, chemical and elemental analysis, and the development of mass spectrometry techniques as a part of the RICHeS programme (https
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conducted in the IWT. Disseminate research through publication in high-quality journals and leading conferences. If possible, develop or adopt numerical simulation models and methods pertinent to icing
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, the role-holder will be part of the Centre’s central ECR cohort, with support from a cohort director / Centre deputy director and access to a Centre-wide ECR development programme—for example, co-writing
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, the role-holder will be part of the Centre’s central ECR cohort, with support from a cohort director / Centre deputy director and access to a Centre-wide ECR development programme—for example, co-writing
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% super Develop automated workflows & collaborate with industry partner Apply now to join our dynamic research group and contribute to the development of high-throughput quantum chemistry workflows
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leveraged to accelerate learning from both classical and quantum data. The project will develop rigorous theoretical frameworks to understand key properties of quantum machine learning models—expressivity