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for business analysis on a complex IT-related change project. Your work will involve understanding stakeholder needs and your analysis will support strategic programme decision-making. You will capture, analyse
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schemes are delivered. Analyse asset conditions and development of a life cycle programs working proactively identifying problems, trend analysis, recovery solution and managing client expectations with
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programming skills around data science, AI and machine learning such as Python, SQL, MATLAB, R, Pycharm, data analysis, dashboarding, relational databases and working with large datasets.With a good
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We are seeking an enthusiastic and motivated individual to join our team as a postdoctoral research associate with a focus on high throughput proteomic analysis in the field of rare kidney diseases
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researchers and external partners. Strong skills in data management, statistical analysis, problem-solving and communication are essential. This role offers an exciting opportunity to contribute to impactful
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to create these models and also support other activities of the working group. You should have a first degree with a substantial statistics component and a Masters in Statistics or equivalent. The post is
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working in multidisciplinary teams is highly desired, as is experience in data analysis, scientific writing, and contributing to high-impact research publications. Knowledge of quality control in
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with service users, practitioners, and policymakers, to evaluate interventions' effectiveness and their broader health impacts. Responsibilities include data collection and analysis, literature reviews
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visual and sound sensory channels alone. However, it is currently not possible to undertake dynamic analysis of users¿ experiences in VR, and the aim of this project is to investigate how to assess
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Life course Exposome Research and Translation). You will be required to have a degree in computer science (or degree with strong computational component e.g. mathematics, physics, biomedical engineering