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21 Jul 2026 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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-node workflows on CPU and/or GPU clusters. Demonstrated expertise in scalable data management for AI/ML workflows, including efficient data preprocessing, storage, streaming, and I/O for large scientific
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, plasma-FIB and Aquilos instruments, as well as our own BSL-2 cell culture suite and plunge freezer, extensive core facilities and a large computing cluster. Joining a lab at its start also means unusual
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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
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3 Jul 2026 Job Information Organisation/Company CNRS Department Laboratoire univers et particules de Montpellier Research Field Astronomy Researcher Profile Recognised Researcher (R2) Application
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
Description The Center of Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at NYU Abu Dhabi seeks to recruit a highly motivated Post-Doctoral Associate to work on topics in
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large GPU clusters on cryoSTEM datasets in the multi-terabyte range. This position plays a pivotal role in supporting ongoing, high-impact research programs within our lab. The successful candidate will
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foundation models, directly advancing the frontier of computational biology and machine learning. You will also implement parallel systems capable of training such models across large GPU clusters on cryoSTEM
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Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA) | Spain | about 2 months ago
expertise in Systems Biology and Metabolism. Proven experience in analysing large-scale omics datasets (metabolomics, transcriptomics, and metagenomics) and their multimodal data integration. Advanced
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Duties and Responsibilities: Coordinate large-scale data collection and longitudinal tracking (10%) Statistical analysis of data including cluster analysis (20%) Interview participants in a mentored