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, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by
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major data science application domains (e.g., healthcare, medical devices, social networks) or societal infrastructures (e.g., transportation, smart grids, smart cities, cloud computing). All candidates
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will have a deep understanding of next-generation sequencing (NGS) data analysis, workflow automation, cloud computing, and cloud software engineering best practices. This role will support research and
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Postdoc in
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with ERP transformation program goals, industry best practices,and technical standards (e.g., NIST). Design end-to-end ERP systemarchitecture, including integration with existing in-house custom
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research and development agenda for computing facilities, advancing the transition from traditional HTC architectures to modern cloud-native systems, federated operational models, and AI-assisted monitoring
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backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services
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9 Feb 2026 Job Information Organisation/Company Technological University Dublin Department Human Resources Research Field Computer science » Informatics Researcher Profile First Stage Researcher (R1
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Cloud Computing ● Database Management in Healthcare ● Biotechnology and Entrepreneurship ● Drug Discovery and Development ● Geospatial Data Science Faculty Associate positions
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III is responsible for implementing and supporting cloud services across a variety of computing environments. Leads the deployment of highly available and fault-tolerant enterprise and web-scale