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. The research group led by Martin Enge is specialized in methodology-driven analysis of patient data, especially in the field of single-cell multiomics. We are a multidisciplinary group with expertise in both dry
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory
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for spectroscopic analysis Analyze data and collaborate with project partners Maintain and operate advanced spectroscopic instrumentation Assist in laboratory organization and support training of junior researchers
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) therapy on the biology of γδ T cells and how can we use this knowledge to help us predict the success of therapy and prevent the development of side-effects. Position 1 will focus on the cellular and
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. The researcher will use statistical methods such as multilevel models and multivariate analysis of variance to take into account key variables and covariates to study the impact on students’ outcomes
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possible thereafter. For eligible students the studentship will cover Home tuition fees plus an annual tax-free stipend of at least £20,780 for 4years full-time, or pro rata for part-time study. The student
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activation and regulation during ageing by investigating how these responses change with differential ageing states (e.g. frailty states, rates of biological ageing etc.). This project will use approaches
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network analysis, or other digital research methods. Excellent ability to communicate effectively in spoken and written English. Ability to work independently as well as actively contribute
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alongside New Zealand’s comprehensive landslide inventories to create innovative models of landslide behaviour. The research will combine field work, empirical modelling, and geospatial analysis, ultimately
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seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis