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Field
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Assessment Models (IAMs) such as GCAM or PAGE. The candidate must have a PhD degree in a related field, be fluent in computer programming, preferably python, and will ideally have experience in working with
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are required to have a Ph.D. or equivalent in biology, ecology or related fields. Excellent writing ability in English is essential as well as creativity, energy, and the desire to work in an interactive and
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: 267826999 Position: Postdoctoral Research Associate Description: The Program in Latin American Studies (PLAS) is seeking candidates from any discipline who are engaged in scholarly research on topics related
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Services Research, Statistics/Biostatistics, Biomedical/Health Informatics or Computer Science. Strong quantitative background in pharmacoepidemiologic methods, bioinformatics, causal inference modeling, AI
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, evolution, ecology, biology, psychology, economics, computer science) or engineering completed by start date Demonstrated academic excellence and research experience, especially published peer-reviewed papers
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Postdoctoral researcher (f_m_x) - Waves in the Inner-magnetosphere and their Effects on Radiation...
scientific organisation. With around 1,200 employees as well as ca. 500 guest researchers, we contribute to the Helmholtz Research Field Earth and Environment, aligning cutting-edge research with societal
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Demonstrated ability to work independently and collaboratively within a team Minimum Qualifications Ph.D. in Information Science, Computer Science, Engineering, Learning Sciences, Psychology, Cognitive Science
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curious to deliver work that matters, your journey starts here! The Civil and Environmental Engineering Department at Carnegie Mellon offers a unique interdisciplinary program that enables you to develop
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Excellent skills in data analysis, database management, and computer programming (e.g., SAS, STATA, R software, etc.). Additional Information: Responsibilities: Serves as a member of the Study Management Team
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multidisciplinary research in broad program themes of Engineering Sciences for Computing and Data Science, Intelligent Systems and Materials, Advanced Electronics and Electrical Engineering, Sustainable and Smart