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of Contract Temporary Job Status Full-time Hours Per Week 38 Offer Starting Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff
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at scientific edge systems using large-scale HPC/AI computational and storage systems. Design and evaluation of ephemeral, user-configurable, and composable data and storage systems. Evaluation of cloud data
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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maintain cloud-native genomic surveillance tools, datasets,and training resources. You will apply these to study insecticide resistance and the population structure of malaria mosquito vectors, generating
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of behavior. Methods that incorporate quantitative analysis and computational modeling are also of strong interest. Applicants should be highly collaborative and committed to pursuing impactful applications
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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
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young people from socially disadvantaged backgrounds into a technical career in environmental science. Part of the NERC ‘Opening up the Environment 2026’ work programme, the project seeks to lead and
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of advanced statistical methodologies, and supporting research on high performance and cloud computing. The successful candidate will also be expected to offer 2-3 advanced technical or methodological workshops
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24 Jul 2026 Job Information Organisation/Company Utrecht University Research Field Computer science » Informatics Computer science » Programming Language sciences » Linguistics Researcher Profile
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interactions, or aerosol–cloud interactions Strong experience in numerical modeling and high-performance computing • Experience applying AI/ML methods to model development, with strong programming skills (e.g