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Interaction with a design and data-oriented perspective. Experience in research in the domain of affective interaction design Background in large-scale data engineering Personal or professional experience
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large-scale observational constraints will be used to constrain and advance climate models, and to attribute climate response to SRM. This position will target a critical problem in climate modelling
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manager to work for the ERC Synergy Grant Project “LIMIT2ADAPT - When and where do we reach the limits of adaptation to riverine flood risk?”. You have expertise in exposure and risk research, large data
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English Proficiency in machine learning and large omics data analysis is preferred. Where to apply Website https://www.lih.lu/en/job/?value=JA/PDGMB0326/MD/DIIA Requirements Research FieldComputer science
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the day) to accommodate your needs. Working remotely is possible for up to 1 day/week. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus, Oxford
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Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during
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this paradigm by quantifying antibiotic action at single-cell resolution. The scientific aim Our laboratory has established a large-scale live-cell imaging platform that tracks hundreds of millions
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of lab ethnography. The life sciences are undergoing significant changes due to the increased use of big data, artificial intelligence and automation. With a focus on laboratory research in microbiology
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applications of large language models, and causal inference and quasi-experimental methods. Key responsibilities include developing and leading innovative research projects aligned with the mission of IHPS
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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