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Field
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the consequences of climate change and strengthen the resilience of mountain areas. The thesis will be based on a multidisciplinary approach combining statistical analysis, level-meteorological modeling, and machine
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The Department of Information Systems, Business Statistics and Operations Management at the Hong Kong University of Science and Technology invites applications for PhD positions within the Business
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good English skills are necessary, both written and spoken. Other Meritorious Qualifications Particularly meritorious are previous research experience in biomarkers, statistical knowledge, and experience
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-Experience in particle physics phenomenology or related area - programming in C++ - programming in Python - fluent knowleage of English language Welcome: - experience in Monte Carlo methods and statistical
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-Experience in particle physics phenomenology or related area - programming in C++ - programming in Python - fluent knowleage of English language Welcome: - experience in Monte Carlo methods and statistical
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various data sources, including nationwide registries from Statistics Netherlands and large-scale longitudinal cohort studies, to investigate CHD, MI- and ischemia-related outcomes, intermediates, and risk
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Statistics Netherlands and large-scale longitudinal cohort studies, to investigate IS and ischemia-related outcomes, intermediates, and risk factors. You will enrich these data sources with relevant
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graduated at Master’s level in machine learning, statistics, computer science, fluid mechanics, or a related area that is considered relevant for the research topic of the project, or have completed courses
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sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring programs the National Forest Inventory
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, mathematical logic or statistical learning theory. For PhD position 2, we appreciate prior experience in implementing deep learning models for graphs and networks. Our offer As a PhD candidate at UT, you will be