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) environments, GPU-enabled systems, and cloud-based resources for large-scale data analysis and model development. Using these rich data resources, we develop and apply advanced AI/ML methods to model tumor
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, transparent, and responsible use of AI in line with best practices and international standards. Leverage VIB Data Core services, including high-performance computing pipelines and large-scale GPU
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for reproducible, efficient and scalable training and inference on parallel, distributed and GPU-accelerated computing systems Benchmark the developed approaches against established methods, assessing
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MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE | Dhabi Kalan, Haryana | India | about 2 months ago
, 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 datasets in the
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largest GPU cluster, providing advanced infrastructure for leading-edge AI research. The Department of Computer Science and Engineering at Koç University has world-renowned faculty with extensive awards
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group working on the LHCb experiment at the Large Hadron Collider. The successful candidate will focus on developing LHCb’s real-time data analysis systems, including the GPU -based software
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researcher Are you excited to help find and assess the most promising habitable exoplanets around solar-like magnetically active stars? Join us to build next‑generation GPU‑accelerated models of stellar
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organize and analyze biomedical and healthcare data to promote health for all. More information about BIDS can be found here: https://medicine.yale.edu/biomedical-informatics-data-science/ (Link is
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-equilibrium field theory, semi-classical methods in quantum many body dynamics, tensor networks and GPU-accelerated quantum evolution. Our work is concept- rather than method-centric. Candidates with
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with parallel multi-GPU on the Koa HPC; creating Bush scripts to standardize SLURM jobs; developing systems involving YOLOv8 classification, generating large data sets using Roboflow, Python scripts, and