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: JOB_POSTING-3-13511 Job DescriptionProvide comprehensive admissions services to prospective student. Complete numerous functions related to the processing of admissions applications and supporting
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, Health Healthcare Management, Health Psychology or related discipline (or equivalent qualification), with experience of complex project management and mixed-method analysis. Ideally with experience in
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group for the topic area migration, internal border regimes, and bureaucracy at the Ilse Arlt Institute and promote profession-specific research and the development of methods and theories in Social Work
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candidate with a strong background in some aspect of numerical analysis for PDEs and an interest in scientific machine learning and probabilistic methods, who enjoys working in collaborative inter
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 9 hours ago
and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill offers full-time
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Offer Description This project investigates vibration-based methods for monitoring the structural health of deep underground tunnels throughout their lifetime. Structural Health Monitoring (SHM) based
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extrapolation based on the principle of geometric similarity and the choice of an invariant. Using this method therefore requires precise knowledge of the phenomena involved. As concerns numerical methods, while
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. MINDnet aims at addressing the challenge through a holistic optimization - from individual computing devices to the overall architecture, including a focus on applications, and training methods - across
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Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) | Toulouse, Midi Pyrenees | France | 17 days ago
Calcul Scientifique) is a private research organization developing advanced methods for the numerical simulation and the algorithmic solution of large scientific and technological problems of interest
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methods for the analysis of large-scale genomic, clinical, and phenotypic data, including phenome-wide association studies (PheWAS), statistical genetics, and precision medicine applications. This includes