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of IETR's technological platforms: 1) nR (NanoRennes) platform, https://www.ietr.fr/en/nr-nanorennes-platform with experience in microfabrication. 2) M²ARS (Manufacturing Measurement Analysis of Radiating
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scope where analysis of data requires a thorough understanding of complex guidelines, and advises on proposals that may involve multiple investigators and/or multiple sub-awards, task budgets, and option
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scalable bioinformatics pipelines on cloud-based infrastructure. The Research Fellow will be responsible for the code base supporting the large-scale genomic processing and analysis pipelines at the SMaHT
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
central role in advancing ITR’s mission to understand and prevent post traumatic neuropsychiatric sequelae through rigorous analysis of complex, high dimensional clinical research data. The ITR conducts
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well as assist with campus tours, virtual visits, open houses, student affairs events orientation sessions and welcome activities as needed. Work with direct supervisor assisting with the analysis of recruitment
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! Harvard FCU: https://harvardfcu.org/ Job Description Job-Specific Responsibilities: The Data Analytics Manager leads our data and analytics function, helping the organization make smarter, faster, and more
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School faculty, staff, and students focus on identifying solutions to complex social problems through research, training, and direct community engagement. Guided by an interdisciplinary tradition, Crown
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this position, you will develop high-fidelity block-based numerical models capable of representing the geometric and mechanical complexity of historical multi-wythe masonry. Your work will involve analysing how
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IMT Atlantique, ULCO and Université de Rouen. In particular, the design of the models will be guided by results of the analysis of Wikipedia data obtained by other teams, and discussions with a
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management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we