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Field
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theory, numerical models and observations to understand various aspects of land climate. Basic Qualifications Candidates should have a recent Ph.D. in atmospheric science, climate science or a related
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for appointment. The applicant is required to document that the degree corresponds to the profile of the post. Documented knowledge of statistical theory and methods and core machine learning methods. Documented
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economics, management, mathematics, or a related field. Specific requirements: Candidates must also have knowledge/research experience in the following areas: Quantitative methods (e.g., game theory
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or ecological theory, computer science, etc. Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually
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–based materials by Density Functional Theory: Ferroelectric perovskites, such as BaTiO3 (BTO), are promising materials for electro-optic modulators (EOMs) in photonic quantum computers owing
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training or professional experience in the following areas is helpful: behavioral and social science theories, evidence based public health interventions, population based public health practice
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Information Science Theory Group at Sejong University in Seoul (QuIST) is accepting theoretical-research applications for one postdoctoral research fellow (55 million KRW per year incl. taxes) in the field
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and complex modelling techniques An emerging research profile in social or political psychology, demonstrated through a developing record of publications Knowledge of contemporary theories and
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related quantitative field for a one-year Postdoctoral Research Fellow position. This position involves developing new theory and methods at the intersection of causal inference and network science
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. Integreat develops theories, methods, models, and algorithms that combine data with general or domain-specific knowledge, helping lay the foundations for the next generation of machine learning. Integreat