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explore two essential enzymes involved in fatty acid synthesis in Gram-negative bacteria, with particular focus on Pseudomonas aeruginosa. We will use a structure-based approach to develop potent inhibitors
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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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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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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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postdocs, another doctoral fellow, a research adviser, a data management expert and a research assistant. AI STORIES explores the hypothesis that deep narrative structures in the datasets used to train
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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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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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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