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FMUP | 1 (ONE) RESEARCH GRANT | ''BEST-COST" PROJECT (REF. HORIZON-HLTH-2022-ENVHLTH-04)'' | Pr. 412
association or cooperation with one or more R&D units (to be proven until the act of hiring). 3. Preferred requirements: Proven experience and/or knowledge in econometrics; Experience in writing scientific
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methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation and the ability to work independently with a strong team orientation excellent
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qualified students to our undergraduate and postgraduate programmes. The Subject Group has a vibrant research community that promotes research around the following sub-themes: Applied Time Series Econometrics
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Brandenburgische Technische Universität Cottbus | Cottbus, Brandenburg | Germany | about 1 month ago
or economic transformation knowledge of qualitative social research methods or quantitative skills (statistics, econometrics) will be highly valued. Experience with interdisciplinary and
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econometric methods to administrative and other large-scale datasets—particularly claims data—to support policy-relevant research on competition and regulation in the U.S. pharmaceutical market
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in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium modeling). • Experience working with large-scale datasets and interdisciplinary research. • Demonstrated research
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determinants of health with a focus on cognitive decline/dementia and an emphasis on the application of epidemiologic, econometric, and other methods to strengthen causal inference using multilevel, longitudinal
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Appointment Term: July/August 1, 2026 to June/July, 2027 (renewable) Appointment Start Date: August 1, 2026 (flexible) Group or Departmental Website: https://pedl.sites.stanford.edu/ (link is external) How
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quantitative background for future careers in finance, banking, and insurance. Building on traditional statistics, econometrics, and stochastic calculus, students are taught to solve real-world quantitative
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given to those with expertise in big data analytics, business statistics, econometrics, data-mining, operations management, operations research, optimization, statistics in healthcare management, supply