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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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computing capabilities with an in-house cluster serving 80 CPU cores and 1.5TB of RAM, as well as a newly acquired NVIDIA DGX box with eight H100 GPUs and 224 CPU cores. We analyze large public datasets
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Applications are open throughout the year via the various links below. Applications received before 15 January 2026 will be considered for the 2026 intake. Interview by the respective clusters for shortlisted
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, or engineering large AI models or their applications. Current PLI projects involve work with language, images, multimodal data, science/math, code, and scientific data. PLI is also focused on AI safety, fairness
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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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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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the respective clusters for shortlisted applicants will be conducted throughout the year. Final Interview by the Panel for shortlisted applicants for the 2026 intake will commence in Mid-March to End April 2026
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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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-weighted imaging, and EEG, in combination with genetic data (GWAS, bioinformatics) from large-scale population cohorts. Positioned at the intersection of biological psychology, cognitive neuroscience, and