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to support capacity development in statistics in these institutions when such visits are appropriate & safe. The ideal candidate will have a postgraduate education in medical statistics and a demonstrated
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findings at international conferences. Required qualifications and experience: To succeed, you will hold a PhD (or be close to completion) in Computer Science, Applied Mathematics/Statistics, Physics
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, Computer Science, Statistics, or other related fields. Familiarity with machine learning and signal processing algorithms for wireless communications. Good written and oral communication skills
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. This project will involve applying and evaluating statistical and machine learning models for data integration and interpretation. A strong foundation in statistical modeling will be essential for applications
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, providing guidance on study design, statistical approaches, and data interpretation. Develop subject-matter expertise, taking ownership of thematic areas and leading components of the research program
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; Geology; Health and Medicine; Mathematics/Statistics; Materials Science and Physics; Psychology and Psychiatry; Technology, Data, and Computer Science; and Zoology.
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closely-related field). Relevant research experience with publications, in one or more of the following areas: Advanced statistical tests (e.g. moderation/ mediation, hierarchical regression etc.) Running
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disease and related dementia research is highly desirable • Strong background in statistical data analysis • Excellent communication and organizational skills • Ability to work independently and
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School of Public Health invites applications for a postdoctoral fellow position in the broad areas of statistics, data science and AI. The focus will be on developing and applying novel statistical
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tools using modern statistical and data science approaches, and take a substantive role in the development of peer-reviewed scientific manuscripts, with opportunities for lead or co-authorship depending