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. Proficiency in the use of statistical programming languages and analysis of large datasets and strong publication records would be essential. Previous experience in atmospheric dynamics and predictability is
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research interests might be considered, priority will be given to those able to relate to one or more of the above topics. Applicants must have a PhD in Mathematics, Statistics or Computer Science obtained
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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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multidisciplinary team in neurology, statistics, and computer science · Publish research findings in peer-reviewed journals and present at conferences Location: Duke University, Durham, USA How to Apply
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Essential Qualifications Applicants require a PhD in a Biochemistry-related field Preferred Qualifications: Experience with animal behavioral studies, advanced statistics, and experimenta design
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assigned. Knowledge, Skills & Abilities: Knowledge of coordinating experiments, and completing analysis, statistics, and interpretation. A strong team player. Ability to communicate in a clear, concise
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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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information, contact Dr. Jun Wang at jun-wang-1@uiowa.edu . Education Requirement: Ph.D. (or equivalent) in Atmospheric Sciences, Chemical Engineering, Environmental Engineering, Applied Mathematics/Statistics
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research into planet formation/protoplanetary discs or the ISM/star formation and may also have some experience in statistical methods and/or machine learning. Dr Winter and QMUL are committed to improving
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of inclusivity and teamwork. - Engage in ongoing academic and intellectual life within CALS and Cornell University. Requirements • PhD in ecology, quantitative ecology, applied statistics, or a