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intermittent. The PhD will work will be twofold. The first part will be to improve and develop datasets and estimation algorithms for renewable energy that will enhance the simulation capabilities of the open
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group there has been a long-standing involvement within studies of ultra-peripheral collisions, where the group has developed one of the leading simulation tools (called 'STARLIGHT') and has been involved
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modules for the ITk (ATLAS Inner Tracker). Within the ALICE group there has been a long-standing involvement within studies of ultra-peripheral collisions, where the group has developed one of the leading
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to develop practical management tools. SEAClim will provide detailed predictions and projections of decadal-to-multidecadal changes in marine environments focusing on the North Atlantic. TipESM will explore
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tasks: Project Design and Planning: Develop and refine the PhD project scope, including objectives, methodology, and detailed plans for data collection and analysis Data Collection and Quality Control
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project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict health disparities under different climate change scenarios
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project bridges two foundational fields in computer science and mathematics: Theory of Algorithms and Extremal Combinatorics. By integrating these areas, the project seeks to develop innovative
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/work tasks: The position is part of the Belmont Forum project “ComDisp: Community-Centered Modeling of Housing-Related Health Disparities.” ComDisp develops a grassroots modeling framework to predict
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management expert and a research assistant. AI STORIES explores the hypothesis that deep narrative structures in the datasets used to train generative AI models are replicated and perhaps exaggerated in
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well as their individual research within the Center for Digital Narrative’s Computational Narrative Systems node, led by Professor Nick Montfort with Professor Rafael Pérez y Pérez. Work includes developing new