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, supporting project implementation, securing research sites and samples, and maintaining industry research collaborations Conduct research on artificial intelligence and strategic management, focusing
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activities, e.g. surveys, literature reviews, data gathering and/or recording of results using appropriate research methods. Participate in and/or present at conferences and/or workshops relevant
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, behavioral economics, or a related social science discipline (completed no later than August 2026) Strong analytic and theoretical skills, with experience in survey, qualitative, and mixed-methods research
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on survey methodology, sampling strategy and weighting procedures (e.g., post-stratification, raking) to ensure valid and reliable national estimates. Clean, validate and manage large-scale survey datasets
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academic record - Promising scholarship and teaching potential, demonstrated by successful academic publication record or other strong writing samples The University of Michigan is an equal employment
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contribute to development of research activities. Support the dissemination of research outcomes through appropriate channels and outlets. Undertake discipline-appropriate research activities, e.g. surveys
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Systems (MRMOLES). You will be based at the University of Plymouth, and collaborating with the microbiology unit at the British Geology Survey in Keyworth, Nottingham. The project will involve field visits
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phases are as follows: Phase 1 – Literature reviews and research writing. Phase 2 – Survey and experiment design, and IRB applications. Phase 3 – Data collection and pre-processing. Phase 4 – Data analysis
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Research Associate, Translational Research Fellow - Dept. Ophthalmology Visual & Anatomical Sciences
developing surveys and interviewing candidates. Participate in implementing research objectives, ensuring compliance with all legal, regulatory and protocol guidelines. Assist staff with experiments
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 19 days ago
quantitative methods, such as survey-based and observational causal inference designs, with qualitative approaches, such as fieldwork and interviews. Through this research, the department aims to develop novel