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or equivalent Skills/Qualifications Writing: Strong academic writing skills in English, with the ability to draft and edit manuscripts for peer-reviewed scientific journals. Data Analysis: Proficiency in
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at the intersection of environmental economics, spatial analysis, and social-ecological systems, the Postdoctoral Researcher will lead the development of an inventory and spatial database of ecosystem services impacted
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models that support prospect identification, pipeline analysis, donor engagement, stewardship, and strategic fundraising decisions. Demonstrated ability to evaluate and improve data quality, apply
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proposal, or academic policy development processes. Experience using statistical methods, survey design, data visualization, and evaluation software to support educational assessment, accreditation, and
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Statistics; Data Analytics: Fundamentals and Ethics; Data Wrangling and Preprocessing; Data Visualization; Regression Methods; Machine Learning for Applied Research; Applications in Data Mining; Social Network
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"Gheorghe Mihoc - Caius Iacob" Institute of Statistical Mathematics and Applied Mathematics of Romanian Academy | Romania | about 2 months ago
Research Infrastructure? Yes Offer Description Participating in research and development activities by implementing, testing and validating biomedical data analysis methods, artificial intelligence and
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, social media analysis, hypothesis generation, and evaluation to understand cyber behaviors; Assist with data collection, cleaning, preprocessing, analysis, and interpretation of findings; Contribute
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29 Jul 2026 Job Information Organisation/Company Nicolaus Copernicus University Department Faculty of Health Sciences Research Field Medical sciences » Health sciences Researcher Profile First Stage
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analysis ● Create visualizations of survey data ● Other research duties as assigned Writing (75%) ● Collaborate on using data and analysis to generate findings and answers to the research questions
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the following: • Experience extracting and working with data using tools such as Oracle SQL Developer, PL/SQL, Argos, Cognos, or similar platforms • Experience using data analysis and visualization tools