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records and disposal as needed. Knowledge, Skills, and Abilities: Knowledge of coordinating experiments, and completing analysis, statistics, and interpretation. A strong team player. Ability to communicate
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
have a PhD, DrPH (or equivalent) in statistics, biostatistics, computational biology, or a related quantitative field. Required Qualifications, Competencies, and Experience Background in causal inference
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? Apply now! Education A PhD degree in Remote Sensing, Geography, Earth Science, Agriculture, Ecohydrology, Biometeorology, Hydrology, or a closely related field Experience and skills Three years
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. The Amtrak/MBTA trains offer close access to metropolitan cities including Boston and New York. PhD, ScD, or DrPH in Psychology, Clinical/Counseling Psychology, Public Health, Epidemiology, or other related
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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research funding. Administration related to the work duties listed above. Qualifications Requirements for the position are: PhD or equivalent foreign degree within three years before the last day for
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including use of simple to complex statistical analysis . •Compose and write scientific publications, progress and annual/final reports for grants. •Supervise undergraduate and/or graduate students and other
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. Candidates are expected to hold a PhD in Structural Geology or related discipline, including experience of fracture description and statistical analysis methods. The intended start date is April 2026, or as
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Postdoctoral Researcher, you will: Supervise and coordinate the project across multiple work packages (VR, ESM, EMI, qualitative research). Co-supervise PhD students and research assistants working
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projects ranging from machine learning applied to spatiotemporal data for weather nowcasting and forecasting, Earth System Modeling, statistical downscaling, data quality, and anomaly detection