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, race, religion, sex/gender, status as a parent or foster parent, sexual orientation, or protected veteran status in its application and admission processes, educational programs and activities
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of epidemiological modelling and data analysis C2 Up-to-date knowledge of epidemiological modelling approaches C3 Knowledge of relevant programming languages for model development, for example Java, R, C++, Julia C4
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skills in English language skills are required for participation in the doctoral program. International applicants must document this with a valid certificate from one of the following tests: TOEFL – Test
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scores You can read more about how to qualify for USN School of Business's PhD program in Management on the USN website. Please note that all documents must be in a Scandinavian language or in English. Any
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. Proficiency in basics of programming languages such as matlab and Python. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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. The Postdoctoral Fellows are given the opportunity to participate in a broad range of interdisciplinary activities and programs that characterize NTU’s approach to research and education. The fellow in this research
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All documents must be in English or include an official English translation. Connect with ORISE...on the GO! Download the new ORISE GO mobile app in the Apple App Store or Google Play Store to help
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curriculum change project (Curriculum Redefined) that spans all undergraduate programmes. Stakeholders include students, module and programme leads, and student education leaders across the institution
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programming languages relevant to computational modeling (e.g., Python, R, or similar). Data Analysis Tools: Experience with statistical software and data visualization tools (e.g., SPSS, Stata, Tableau). AI
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | 27 days ago
. Eric Rapaport and his team are now seeking applications for a two-year Postdoctoral Fellowship in a research program called A data-driven geospatial planning tool: understanding cumulative climate risks