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complex research projects involving multiple interdependent components. Experience in programming (python) and applying AI-assisted technologies to streamline research and analysis workflows is highly
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, complex systems, and network science to develop, evaluate, and implement novel models to support public health decision making needs. Responsibilities Lead and contribute to projects using mathematical and
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, ocean, marine ecosystem, and impact models of different complexity and will include both traditional and new ocean modelling approaches with the final objective of delivering: (i) coordinated and
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take responsibility for the planning, execution and analysis of high-quality research, ensuring the validity and reliability of data at all times and will maintain ongoing scientific discussion with
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Sciences | College Administration Natural and Mathematical Sciences The Post Doctoral Scholar will play a key role in advancing interdisciplinary research in STEM higher education to evaluate student
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. ● Experience with human subject research. ● Facility with statistical analyses such as structural equation modeling, multilevel modeling, and longitudinal analysis ● Demonstrated ability to successfully manage a
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The Advanced Grid Modeling group at Argonne National Laboratory's Center for Energy, Environmental, and Economic Systems Analysis (CEEESA) is seeking a highly motivated Postdoctoral Researcher
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significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is
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applicants who have experience in conducting highly controlled laboratory and greenhouse plant experiments, collection of various forms of phenotypic and molecular data, statistical analysis of complex
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, the associate will support mixed methods data collection and analysis (surveys, interviews, and community-based systems dynamics modeling), coordinate community engagement activities, manage relationships with