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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
of samples for whole-genome sequencing; and microbial bioinformatic analysis of sequencing data, including genome assembly and annotation, detection of resistance genes and mobile genetic elements, and
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the knowledge, qualifications, training and experience section of the job description. For more information on Peninsula Medical School please visit our dedicated webpage at https://www.plymouth.ac.uk/schools Due
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. Research Component: Conduct research on modelling and analysis of electric power grid Study impacts of high-fidelity grid-forming inverter models and high-voltage direct current (HVCD) models on power system
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across learning sciences, computer science, machine learning, HCI and education research. Research Role Research themes for the NTO Postdoctoral Associate include, but are not limited to: Developing
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research Strong quantitative skills, including experience with regression, structural equation modeling (SEM), and multilevel modeling (MLM) Experience with measurement development, factor analytic methods
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, genuine curiosity about leadership and organizations, and a collaborative spirit. Specifically, the ideal candidate has: A strong background in artificial intelligence, machine learning, computational
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factor > 0), that spontaneous and precipitated withdrawal have DISTINCT temporal architectures, and self-excitation indexes withdrawal severity (including anxiety-like, negative-affect-proxy behaviors
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
(Rennes, France), Ifremer (Brest) and IMT Atlantique (Brest). Inria is one of the leading research institute in Computer Sciences in France, and Odyssey is also affiliated to the mathematics research
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engineering, biomedical engineering, computer science, physics, mathematics, etc.) from a university-level higher education institution in Greece, or an academically equivalent or recognized corresponding
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. Development and integration of state-of-the-art machine learning techniques in the analysis and event reconstruction will be a major component of this work. - Characterization of silicon detection modules using