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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 19 hours ago
conditions. Presentation of the results. Duration: The research fellowship(s) will have a duration of 3 months (non-renewable), expected to begin in September, 2025. It is mandatory to formalize applications
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depletion, atmosphere circulation, extreme precipitation, ITCZ shift, tropical drying, etc Analyse and interpret research findings and results Work together with modellers and teams in Edinburgh and CICERO
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research and assist in project coordination for visually impaired guidance. For the Research Associate posts, the appointees will be required to involve for the post-training large language models
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Resilinet Battery Room Design for Next-Gen Electric Habour. The project is in collaboration with two local industry collaborators. Under this job title, you will develop a CFD modelling platform to evaluate
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to global change. Increasing temperatures, melting glaciers, shifting precipitation and snow patterns, changing biodiversity, and increasing human pressures are transforming these landscapes. CMT aims
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simulations) to propose solutions. The Research Fellow will be responsible to study through modelling the resilience of the solutions using climate change weather data. Close collaboration with all project
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background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the BEG hydro group. Purpose We are seeking highly
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to global change. Increasing temperatures, melting glaciers, shifting precipitation and snow patterns, changing biodiversity, and increasing human pressures are transforming these landscapes. CMT aims
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of blowing snow in driving accumulation and sublimation in mountainous conditions. The simulation of blowing snow in local and regional climate models is poorly constrained, leading to uncertainties in
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modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can predict storm surges in Singapore coastlines based on different weather