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brings a strong combination of academic and industry experience. They will possess deep, hands-on expertise in modern AI architectures including convolutional neural networks, transformers, and diffusion
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, access to computer cluster Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8197-VALHER-212/Candidater.aspx Requirements Research FieldBiological sciencesEducation LevelPhD or equivalent
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network of approximately 280,000 – including leaders at many of the 24 Fortune 500 companies headquartered in North Texas – UTA contributes an estimated $29 billion annually to the Texas economy. UTA is
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network of approximately 280,000 – including leaders at many of the 24 Fortune 500 companies headquartered in North Texas – UTA contributes an estimated $29 billion annually to the Texas economy. UTA is
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expertise in: Microsoft Active Directory concepts, administration of Microsoft desktop and server operating systems, and IP networking fundamentals Must be well versed in current technologies and industry
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electronic equipment, network printers, and telephone systems. Conducts research and development of operating systems and computer systems for the university. Provides consultative support to staff, and
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Networking research group at CMI. We are a strong computer engineering environment with close and interdisciplinary collaboration with many different industries. How to apply *** Please apply by submitting
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estimate of the range of possible compensation at the time of posting. Position Summary The Department of Statistics at Columbia University is seeking an experienced, strategic professional to serve as the
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estimate of the range of possible compensation at the time of posting. Position Summary The Department of Statistics at Columbia University is seeking a motivated and organized professional to serve as
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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | 8 days ago
. Clin. Med.,2025, 14(19):6752. https://doi.org/10.3390/jcm14196752 Khalifa, M., Albadawy, M. Artificial Intelligence for Clinical Prediction: Exploring Key Domains and Essential Functions, Computer