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skills. Experience with cloud computing and big data analytics platforms. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. PD; SN Requisition ID: 23791 Apply now
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topics include, for example: Quantum information in quantum gravity Relativistic Quantum Information Computational complexity in adiabatic quantum computation AI to boost quantum technologies (e.g
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with the Earthmapps team. Access to high-performance computing resources and cloud platforms. Opportunities for international collaboration and research visits. Contribution to impactful climate science
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technological competition between China, the United States (US) and Europe in three key sectors for contemporary economics and geopolitics: semiconductors, cloud computing and space. Theoretically, the project
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quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation
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conditions, with emphasis on robust computational pipelines in high-performance and cloud environments. The candidate is expected to publish results in high-impact journals, contribute to student supervision
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intelligence, software engineering, data management, distributed systems, or cloud computing Excellent communication and teamwork skills Strong organizational abilities with the capacity to work independently
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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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frameworks and pipelines Familiarity with single-cell multi-omic data integration and network or pathway inference tools Experience working in high-performance computing or cloud environments Interest in
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on an HPC system or in the commercial computing cloud For further information about this position please contact nternette001@dundee.ac.uk . To find out more about the Group please visit https