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Range Based on Post Doctoral Experience Type of Position Temporary Position Time Status Full-Time Required Education PhD in statistics, biostatistics, epidemiology, bioinformatics, data science, computer
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Agency (ARIA). The PROTECT project (Probabilistic Forecasting of Climate Tipping Points) brings together cutting-edge AI, statistical, and machine learning techniques with climate modelling, aiming
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: Statistical Physics / Statistical Physics Appl Deadline: 2026/02/28 11:59PM * (posted 2025/06/29, listed until 2026/02/28) Position Description: Apply Position Description A 1 year postdoctoral position is
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Disclosure of Campus Security Policy and Campus Crime Statistics Act, or Clery Act, mandates that all Title IV institutions, such as the University, prepare, publish and distribute an Annual Security Report
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analysis of data from a Nipah virus vaccine trial, using machine learning and statistical tools to identify immune response markers for future trials. You will be responsible for developing new and adapting
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on Computer Science and Engineering, Telecommunication Engineering, Applied Mathematics or Statistics with application or specialization in Data Science. Experience and skills Required experience and skills: Extensive
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show evidence of understanding, expression and application of concepts and methods. Strong data analysis skills, especially in applied econometrics and statistical methods within health economics are
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skills, especially in applied econometrics and statistical methods within health economics are essential as is the ability to work effectively independently and collaboratively. Diversity Committed
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the integration of variable renewables, & environmental issues. Experience in statistics & stastical analysis. Understanding of basic financial & economic principles. Experience in academic writing & publication
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, Rocscience). Strong quantitative and statistical analysis skills. Strong technical writing and publication skills; ability to prepare manuscripts, reports, and grant proposals. Willingness to learn new methods