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to write and communicate clearly Preferred Qualifications Experience with high performance computer clusters Experience with the analysis of large datasets Good understanding of immunology Any kind
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clustering—across large registry datasets, generating outputs that inform cancer policy and health service planning. The Fellow will lead specific projects, contribute to north–south data harmonisation
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and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and
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demand, supply, and market trends. 2) Analyse Energy Data Collect, clean, and interpret large datasets from various sources. 3) Monitor and Validate Model Performance Continuously evaluate data accuracy
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). Applying advanced statistical and machine learning methods (e.g., predictive modelling, clustering, multivariate integration) to large-scale time series and sensor datasets. Contributing to the development
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2 Sep 2025 Job Information Organisation/Company Humboldt-Universität zu Berlin Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country
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. The research topic of this PhD is Accurate and Scalable Simulation of Edge Systems.You will be part of the Cyber-Physical Systems group . General information about the position. The position is for a period of
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-shot Learning with Hyperspherical Embeddings, CVPR, 2023 [4] Wang et al., AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering, CVPR, 2025. Contact For further information
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of the Rubin US Data Facility, and operation of the Rubin Observatory system; large cosmic surveys including DESI, Euclid, and the Nancy Grace Roman Space Telescope mission; CMB experiments including BICEP/Keck
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, metabolomic and metagenomics data Large-scale clinical and molecular phenotypes data, including integrative omics studies Evaluation and application of appropriate bioinformatics/statistical techniques, as