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Field
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, Data Scientists or the Center Director, as appropriate, Fellows are expected to carry out an active research program that can be independently directed and/or involve substantial collaboration with other
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academic taskforce, the successful applicant will work to advance four objectives: Evaluate and compare different models for accessing and analysing social platforms data, including data donation, web
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close 11:55pm, Thursday 26 June 2025. For further information: For a confidential discussion regarding this position, contact: Jessica Cortazzo Manager, Project and Strategic Partnerships Program Manager
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more information about the project, contact any of them. ORGIMP follows up key perspectives and findings from the OSIRIS Centre, which has an extensive web site with publications, blogs and other
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Experimental research and with cognitive computational modeling. The fellow will be involved in the design and implementation of interactive web-based experimental studies and the use of existent high-fidelity
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anthropology, architecture, geography, and planning. Candidates who have experience with multimedia production and/ or skills in critical cartography (video, web-based platforms, GIS) are especially encouraged
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candidate will have a background in qualitative research methods and program evaluation, with a strong commitment to applied research that influences policy, practice, and health. As well, a demonstrated
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PhD Research Fellow in Experimental Fluid Mechanics: Tunable hairy surfaces for droplet flow control
Cookie-erklæringen var sist oppdatert 06.06.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan
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Cookie-erklæringen var sist oppdatert 06.06.2025 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan
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of existing interventions using our proposed tools. The fellow will also be involved in parts of the literature review and data collection. 2. “Using remote sensed variables for program evaluation" (Viviano