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Scientists (FRIPRO) “MultiSCORE: Multi-scale structure of the coronal environment” and led by Petra Kohutova. The MultiSCORE project focuses on the formation of large- and small-scale structure in the solar
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advanced AI and bioinformatics approaches to large-scale single-cell and multi-omics datasets. The project will focus on integrating these data to investigate cellular and tissue-specific signalling
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Associate to join the Parallel Systems Lab (https://psl-ntu.github.io ) at NTU’s CCDS. The role focuses on designing, developing, and evaluating efficient, scalable systems for modern multi-agent HPC-AI
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quantitative imaging, we work towards a multi-scale understanding of how molecular composition and subcellular organisation shape cell function, plasticity and disease. A central biology focus of the lab is
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from diverse backgrounds including data sciences, computing, statistics, epidemiology and human computer interaction. We collect, analyze, and interpret complex, multi-scale real-world data from large
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the position, the candidate must have an internationally recognized track record in synoptic scale dynamic meteorology and in numerical weather prediction methods and/or multi-scale meteorological modeling and
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complexity, from a single droplet to the semi-industrial scale. The work will identify the influence of temperature and water content on reaction kinetics and then build and validate multi-response kinetic
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with leading machine learning frameworks and modern AI environments, including multi-GPU model training and large-scale inference on dozens to hundreds GPUs, are required. Additional Qualifications
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pumping technologies for future electrified energy systems. We are currently recruiting a PhD candidate at DTU for a project on the multi-physics modelling of bearingless pumps. A parallel PhD position is
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single-cell genomics, multi-omics integration, or statistical genetics Familiarity with large-scale human datasets (e.g., All of Us, UK Biobank, dbGaP) Experience in autoimmune, immunometabolic