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Field
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Research Infrastructure (ACCESS-NRI), and is focused on coupling the Ice-sheet and Sea-level System Model (ISSM) with the ACCESS-AM3 atmosphere model. The long-term goal is to integrate this coupling
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International travel may be required for this role. Background This post will advance the application of Machine Learning (ML) in weather forecasting and hydrological prediction. The Research Fellow will develop
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co-develop a next-generation ocean component for integration into the universal climate model OASIS. We are looking for a candidate with a PhD (or equivalent) in Physical Oceanography, Atmospheric
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). This global project aims to assess the behavioural and social drivers of vaccine uptake and to identify both supply- and demand-side barriers to immunisation. The post-holder will contribute to modelling
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Urban climate modelling) 1 Posting Start Date: 13/05/2025 Job Description: Job Description We are looking for a full time Post
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London School of Hygiene & Tropical Medicine; | London, England | United Kingdom | about 12 hours ago
). This global project aims to assess the behavioural and social drivers of vaccine uptake and to identify both supply- and demand-side barriers to immunisation. The post-holder will contribute to modelling
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co-develop a next-generation ocean component for integration into the universal climate model OASIS. We are looking for a candidate with a PhD (or equivalent) in Physical Oceanography, Atmospheric
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numerical flow modeling, with a focus on transient regimes, species transport, and the application of RANS and LES turbulence models, primarily using ANSYS CFX and Fluent; Skills in conducting experimental
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models developed rapidly, and you will support work to ensure that the methods can be run, evaluated and improved by partners in African universities and weather services. A significant part of your work
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be very close to completion, in ML, statistics, meteorology, climate science, physics, or related fields. He/she will have substantial experience with ML, or with weather forecasting models. Essential