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Field
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. Extensive experience with mouse models is desirable, including preparation of pre-operative brain tumor cell suspensions, stereotactic orthotopic xenograft implantation of brain tumors in mice, and use
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position to which the successful candidate will be attached: up to 4 points out of a total of 10. Selection process The specific committee will agree upon an award proposal and draw up a prioritized
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benchmark chemometric and physics-informed machine learning models to monitor, forecast, and ultimately control critical process parameters, implanting these models in advanced control frameworks to optimize
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supports numerical computational modeling of subsurface flow and well performance, mentors PhD students, and contributes to ongoing research projects. This is a temporary, part-time (wage-payroll) hourly
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Primary supervisor - Dr Thomas Anthony Haynes Pellet-clad interaction (PCI) is a complicated phenomenon, relatively poorly captured in current commercial fuel performance codes. Models have been
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-of-year bonus contribution to commuting expenses optional model for designing a personalized benefits package a wide range of sports facilities which staff may use at a modest charge Additional comments
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-) immunoprecipitations from neuronal cell models and brain tissue followed by quantitative LC-MS/MS, and you will run that workflow from end to end – from sample preparation to data analysis and interpretation. Candidate
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leader is Associate Professor Soledad Gonzalo Cogno. About the project The successful candidate will contribute to the development of mathematical and computational models to enquire about the mechanisms
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: in plants and mammalian herbivores. In particular, the project main focus is checking if more-than-one isotopic baselines may occur within a community (of plants, or of mammalian herbivores) in
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renewable energy use, energy security, and the reliable operation of hydro-dominated power systems. The project will focus on how AI can support advanced optimization models for hydropower and energy-system