31 parallel-processing Fellowship positions at University of Birmingham in United Kingdom
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will conduct experimental investigations into dynamic processes, especially Ostwald ripening. They will employ a range of advanced characterisation techniques—such as scattering, microscopy, and rheology
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effectively. Understanding of and ability to contribute to broader management/administration processes. Contribute to the planning and organising of the research programme and/or specific research project. Co
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the context of our commitments to the ATLAS Experiment at the CERN Large Hadron Collider. This will involve undertaking specified activities in the operation, performance-optimisation and exploitation
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resources effectively Evidence of researcher capabilities in the form of peer reviewed publication(s) Understanding of and ability to contribute to broader management/administration processes Contribute
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findings). Ability to assess resource requirements and use resources effectively. Understanding of and ability to contribute to broader management and administration processes. Contribute to the planning and
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to developing new ones Ability to assess resource requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning
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to developing new ones Ability to assess resource requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute to the planning
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to contribute to developing new ones Ability to assess resource requirements and use resources effectively Understanding of and ability to contribute to broader management/administration processes Contribute
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intervention delivery and implementation in NHS settings Liaise with NHS multidisciplinary teams to support research and intervention delivery Support patient recruitment and consent processes in accordance with
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predictions and to generate hydrological forecasts. The RF will be part of a research environment with strong ML activities. The post is mainly part of the project ‘HEavy Precipitation forecast Post-processing