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ML methods for postprocessing numerical ensemble weather forecasts over India to improve the skill of precipitation predictions and to generate hydrological forecasts. Role Summary Implement and test
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Fellow will develop ML methods for postprocessing numerical ensemble weather forecasts over India to improve the skill of precipitation predictions and to generate hydrological forecasts. Role Summary
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giants and icy moons. This will be achieved through a multi-method approach, combining rotating fluid mechanics experiments, numerical simulations, and theoretical analysis. As a key member of the team
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for biomedical applications. Experimental expertise in advanced optical system design, structured beam generation, and characterization methods will be advantageous. Familiarity with laser pulse shaping
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Job no:520746 Work type:Full Time Location:Crawley Categories:Engineering and Mathematical Sciences, Social Sciences Lead numerical modelling of carbonate sand for offshore foundations, support
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or an equivalent qualification. For all posts, applicants should also: (a) have solid experience in electric machines, finite element methods and theory of electromagnetic files; and (b) be able to complete
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Lead numerical modelling of carbonate sand for offshore foundations, support research outcomes, and contribute to publications and student supervision. Full-time appointment on a fixed term basis
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workshops, methods training, joint stakeholder sessions, and work-in-progress presentations. The Centre's ECRs will work as teams on specific projects. The role-holder will also collaborate with ECRs based
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workshops, methods training, joint stakeholder sessions, and work-in-progress presentations. The Centre's ECRs will work as teams on specific projects. The role-holder will also collaborate with ECRs based
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Development of new multidomain simulation platform for electric motor drives Development of new fabrication methods for electric motor drives Experimental testing for motor system Job Requirements: PhD degree