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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description POLARIS doctoral network POLARIS is a European Marie Skłodowska-Curie Doctoral Network
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trials; administrative health data; social networks; and statistical methods to assess the genetic and molecular basis of disease. Job Summary The job performs a range of activities to support the
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 20 hours ago
sectors, in support of internships, experiential learning opportunities, shadowing, networking, and full-time jobs for students interested in those industries. The majority of this position’s time is
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, multimodal data analysis, social network analysis, computational text analysis, or large-scale data analysis. Proficiency in relevant programming languages and computational tools, such as Python and/or R, and
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analysis software (for example NVivo, ATLAS.ti or MAXQDA) or computational text analysis methods. Existing networks among policy practitioners in Washington DC and/or Brussels. Experience of writing
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to an international, interdisciplinary doctoral network. Excellent written and spoken English and strong scientific writing skills. Experience with EU biodiversity or sustainability policy, spatial modelling, social
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, computer vision, remote sensing/satellite imagery, social network analysis, social media analysis, and machine learning. An active research agenda with a record of, or clear potential for, publication in
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voluntary. More information on personal data protection is available on the Łukasiewicz Research Network – Krakow Institute of Technology data protection page . Website for additional job details https
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 22 hours ago
, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community. University employees can choose from a wide range of professional training
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and analysis of dedicated algorithms for training analog circuits directly from data. In this PhD project, you will develop a novel system-theoretic framework for learning in analog circuits and