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independently as well as in a multidisciplinary team. Research experience in analysing infectious disease data using statistical and/or mathematical approaches would be highly desirable. Experience in statistical
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Okinawa Institute of Science and Technology, Information Theory, Probability and Statistics Unit Position ID: 3508 -POSTDOC1 [#26677] Position Title: Position Type: Postdoctoral Position Location
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equivalent) in hand by September 1, 2025. Experience using advanced statistics to answer ecological questions, programming in R, Matlab or other statistical languages. Preferred Qualifications: Ph.D
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equivalent) in hand by September 1, 2025. Experience using advanced statistics to answer ecological questions, programming in R, Matlab or other statistical languages. Preferred Qualifications: Ph.D
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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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project funds are secured and from a non-federal source. The position involves applying bioinformatic and statistical tools to existing multidimensional datasets, including metagenomic, transcriptomic
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disparities for communities and populations. Candidates will receive mentorship and training in precision health, including advanced statistical methods focused on predictive modeling in relation to response
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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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findings. Knowledge, Skills, and Abilities: Knowledge of coordinating experiments, and completing analysis, statistics, and interpretation. Ability to communicate in a clear, concise manner orally and in
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/algebraic statistics in the School of Mathematics at the University of Edinburgh. The post is available from 1st September for a 36 months fixed-term, full-time contract with a potential 6 month extension