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European research consortia such as the DAPHNE (DAta for PHoton and Neutron Experiments) NFDI consortium and the Cluster of Excellence "Machine Learning: New Perspectives for Science". Details
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developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
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transit as well as Gaia/LSST discoveries. Indiana University also provides excellent research computing resources (high-performance computing clusters, large-scale storage, and advanced visualization
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experience in the field of neurodegenerative disease. Experience with curation, preprocessing and/or analysis of neuroimaging data. Ability to independently perform large-scale data analyses. Excellent
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datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress conditions. Implementing a multimodal approach for large-scale data analysis using CPU and GPU
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15 Nov 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Educational sciences Psychological sciences Researcher Profile Recognised Researcher (R2
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models. Experience in large-scale deep learning systems and/or large foundation model, and the ability to train models using GPU/TPU parallelization. Experience in multi-modality data analysis (e.g., image
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7 Nov 2025 Job Information Organisation/Company SINGAPORE INSTITUTE OF TECHNOLOGY (SIT) Research Field Computer science Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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Max Planck Institute for Astronomy, Heidelberg | Heidelberg, Baden W rttemberg | Germany | 2 months ago
clusters. Our research approaches encompass multi-wavelength observations, large surveys and large observing programs, e.g., Gaia, JWST, Euclid, Rubin Observatory/LSST, SDSS-V and 4MOST. We also pursue large