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in an intra and inter team fashion is highly expected Excellent communication skills in English are required Strong analytical skills and familiarity with data analysis tools Highly motivated, and able
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and/or intensive longitudinal data analysis is highly desirable. There is no preference for the candidate?s substantive research area. Brown University provides equal opportunity and prohibits
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detailed information on the admission criteria please see the PhD Regulations and the relevant PhD programme description . The applicant must document expertise and interest in the research subject. This
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QUALIFICATIONS PhD in Ecology, Geography, Environmental Science, or a closely related discipline. Demonstrated specialization in remote sensing and spatio-temporal environmental data analysis. Strong programming
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 10 days ago
expertise; excellent command of quantitative research methods, including panel regression, analysis of large administrative data, survey data, and statistical programming in Stata/R/etc; excellent oral and
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to apply Website https://careers.software.imdea.org/phd/2026-01-phd-ossec/ Requirements Research FieldComputer scienceEducation LevelMaster Degree or equivalent Additional Information Work Location(s) Number
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for publication in leading journals for disseminations as appropriate. Document research output including analysis and interpretation of all data, maintaining records and databases, drafting progress reports and
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and collaborative environments. Required Education: PhD from an accredited college or university in Educational Technology, Learning Technologies, Human-Computer Interaction, or a related field
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including grade 7. Visit the Centre for Research Staff Development for more information. How to Apply Please apply via the KLC portal at https://www.kcl.ac.uk/jobs and attach the following additional
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19 Mar 2026 Job Information Organisation/Company Institute of Fundamental Technological Research Polish Academy of Sciences Department Departament of Experimental Mechanics Research Field