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such target pairs at scale remain very limited, creating substantial scope for discovery. Our integrated wet-dry lab is particularly well positioned to move prioritized candidates through experimental
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-resolution confocal microscopy, quantitative image analysis and computational approaches to investigate host metabolic responses during infection. The role also involves analysing and integrating large-scale
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stakeholders; and contributes to the development of large-scale interdisciplinary funding initiatives. Designs and conducts independent and collaborative genomics and metabolomics projects using advanced
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of large-scale geospatial and time-series datasets. The candidate will develop and evaluate multimodal AI models to characterize vegetation and land-surface dynamics and quantify ecosystem responses and
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development matters. There are so many reasons to take your next step with us. The University of Edinburgh is a world-class organisation. We look for the best in the field across all disciplines and provide a
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platforms. Perform large-scale simulations of fission and fusion systems employing models for turbulence, heat transfer, magnetohydrodynamics, etc. Employ finite element tools for tritium transport
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, AC and DC Grids, EV charging. Excellent English language skills Experience with managing large projects with partners, planning and following up of tasks, organizing meetings and budgets is preferred
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civil engineering. It is known for its development of tools, design methods, large-scale analyses and built prototypes aimed at enabling the Architecture, Engineering and Construction (AEC) sector
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-scale neural dynamics during cognitive tasks. The PDRA will develop cortically-embedded models of visual cognition that can interact with images and/or videos in a way that is species-specific. Extensions
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 18 days ago
for large-scale ice-sheet models such as ISSM, and provide a pathway toward increasingly integrated model–observation frameworks, including data assimilation. References: E Rignot, S Jacobs, J Mouginot, B