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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 hours ago
, our highly skilled postdocs play a vital role in our research enterprise and towards our overall commitment to research excellence. Across many disciplines, postdocs contribute to the intellectual
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Classification Title: Postdoc Aso Classification Minimum Requirements: The appointee shall have received the doctorate in a field appropriate to the assigned duties and responsibilities. Job
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large multi-dimensional datasets using statistical tools such as positive matrix factorization (PMF) and cluster analysis Investigate the influence of different urban emission sectors on atmospheric
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50 Faculty of Life Sciences Startdate: 18.08.2025 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 17.08.2029 Reference no.: 4247 Explore and teach
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Position Description: According to the National Institute of Health (NIH) and the National Science Foundation (NSF), a postdoc is an individual who has received a doctoral degree (or equivalent) and
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statistical significance. The postdoc will be responsible for analyzing large datasets and for maintaining a detailed electronic lab notebook. They will prepare technical reports for internal tracking and
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qualified candidates to apply for a postdoctoral research position. The research will focus on statistical modeling, machine learning and trustworthy AI to develop effective and efficient algorithms
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of it, we are currently looking for a postdoc on machine learning for road characterization. How will you contribute? Do you have proven
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University of Pennsylvania, Statistics and Data Science Position ID: 3334 -POSTDOC [#25722] Position Title: Position Type: Postdoctoral Position Location: Philadelphia, Pennsylvania 19146
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on cutting-edge research at the intersection of statistical modeling, artificial intelligence, and infectious disease epidemiology. This position focuses on developing and applying statistical, mathematical