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to reach net zero. Project Description Both carbon removal technologies (a.k.a. negative emission technologies) and hydrogen (especially green) will play a key role towards achieving the net zero commitment
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partners across Michigan Medicine to ensure the institution's technology infrastructure is secure, stable, reliable, scalable, and economically managed. The HITS Network Support Team at Michigan Medicine is
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Cisco IOS. Reviews, analyzes, responds to, and implements work orders from the Network Engineering group for network configurations. Patching of fiber for switch uplinks to campus backbone, utilizing
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you passionate about science communication and student education? This post will provide administration and organisation support to the European GLYCOCALYX Marie Sklodowska Curie Doctoral Network (MSCA
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Communications and Networking, Springer, 6 (2022). https://doi.org/10.1186/s13638-021-02081-4 Abu-Tair, M., Zia, U., Memon, J., Scotney, B.W., Martínez Carracedo, J. & Sajjad, A. (Apr 2024). Transparent Encryption
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Administration Job Type: Regular Work Shift: Sponsorship Available: No Institution Name: University of Arkansas for Medical Sciences The University of Arkansas for Medical Sciences (UAMS) has a unique combination
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position in the area of Security of Emerging Network and Networked Systems. SCAI (https://scai.engineering.asu.edu/ ), one of the eight Fulton Schools, houses a vibrant Computer Science Engineering research
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The International Institute of Molecular Mechanisms and Machines Polish Academy of Sciences | Poland | 10 days ago
queries, please contact m.wasilewski@imol.institute Where to apply Website https://forms.gle/Exoy7iw4U8cYLL9C6 Requirements Research FieldBiological sciences » BiologyEducation LevelMaster Degree
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liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network
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the Marie Skłodowska-Curie Doctoral Network (ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis