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, organising and analysing data, supporting thematic and narrative analysis of legal judgments and statutory reports, contributing to the development of an interdisciplinary analytical framework, and assisting
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, and artificial perception, aiming to develop innovative technologies with real-world impact and strong links to industry and society. Recognised Researcher position has been opened. Hands-on engineer
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-generation AI models of gene regulation and disease progression. Our work is redefining Parkinson’s disease biology and enabling translational breakthroughs. The role Develop deep learning models across genome
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 2 hours ago
forecasting within the GEOS models developed by the Global Modeling Assimilation Office (GMAO). S2S-V3 is informed by changes in atmospheric aerosols from wildfires, but the potential deposition of dust over
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for learning research. The scholar will support grant-funded research at the ALT lab on conducting real-time affective and cognitive tracking of learners, predominantly in the context of measuring the impact of
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mechanisms and causal pathways to strengthen attribution analyses and model development, build operationalized seasonal forecasts and test their skill as early warning systems, (iii) developing novel impact
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the future of combination therapy, thereby contributing to the institution's goal of developing cures for catastrophic childhood diseases. Relevant Publications: Meyer CT, et al. Nature Microbiology. 2023
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of over 100 staff and about 600 students. We carry out international, impact-oriented and interdisciplinary teaching and research of the highest quality through our strong network of partnerships
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particular emphasis on deep-field observations. The position provides access to large, high-impact JWST datasets and opportunities to contribute to multiple ongoing programs, as well as to a broader portfolio
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human health. Within this mission, the Jug Group develops advanced computational methods and open scientific software to extract knowledge from complex biological imaging data. We work at the intersection