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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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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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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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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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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
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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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thermal, structural, electrical, and mechanical properties. The researcher will also design and execute statistically rigorous experiments, develop publications and reports, and collaborate with internal
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) Solid expertise in qualitative social research (e.g., conducting qualitative interviews, analysing qualitative data); basic knowledge of quantitative data collection and statistical analysis is an asset
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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