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consists of high-performance computing clusters, virtual machines, PetaByte-scale high-performance storage and cloud platforms. We work with BCH scientists to develop solutions in support of cutting-edge
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disciplines: Data Science, Artificial Intelligence and Cloud Systems and Security. Our PhD students and faculty conduct world leading research in many areas of Computing, including in: Artificial Intelligence
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. Duties Within the Data Science Section, you will be responsible for: supporting the definition and implementation of the architecture for a hybrid-cloud science platform (expanding ESA Datalabs - https
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25 Feb 2026 Job Information Organisation/Company Humboldt-Universität zu Berlin Department Physics Research Field Physics » Computational physics Researcher Profile Recognised Researcher (R2
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Development to support the Peer Tutoring program, ensuring tutors are trained in evidence-based learning theories. Assessment & Analytics: Collaborate with the Office of Learner development to analyze
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leadership in digital research infrastructure or digital technologies, with a mandatory PhD or equivalent Extensive expertise across cloud computing, HPC, research data management, and cybersecurity A
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2027 - 06:12 (UTC) Country Luxembourg Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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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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Scientist to improve the data analysis experience within the MAX IV computing environments. The successful candidate will contribute to developing and supporting the overall software ecosystem for data
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Department: Col of Engineering and Computing Classification: 9-month Instructional Faculty Job Category: Instructional Faculty Job Type: Full-Time Work Schedule: Full-time (1.0 FTE, 40 hrs/wk