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meetings Key Responsibilities: Development and implementation of study protocols Participant recruitment and collection of participant and laboratory data Statistical analysis of data Authorship
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research program sponsored by federal agencies such as the U.S. Department of Defense and the National Science Foundation (NSF). The focus of the research is on developing innovative physics-informed deep
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advanced statistical techniques, computational modeling, network analysis, and machine learning to identify patterns and mechanisms linked to the onset and progression of mental health conditions
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analysis of data. Prepares appropriate and understandable representations of data such as graphs, charts, tables, statistical summaries, etc. Contributes to the preparation of scientific manuscripts by
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a laboratory notebook; perform statistical analyses of data obtained from experiments and render interpretations of the data. Operations - 20% • Keep the laboratory stocked, maintain inventories
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focus and interest. Fellows will work directly on research projects of CGNE-affiliated faculty, pursue independent research activities in line with their developing program of research, and engage in
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for adaptation to sea level rise along the Maine coast. This 18-month grant-funded position will be supported in partnership with Maine Coastal Program (MCP), Maine Geological Survey (MGS), and faculty from
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Science, Statistics or Computational Biology, Computational Chemistry. Must have a strong interest in any of the following: NLP, Knowledge Representation, Clinical Informatics, Bioinformatics, Biomedical Ontology
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with different diseases in diverse populations and to identify potential therapeutic targets. This is an exciting opportunity to contribute to a programme of research that assess the causal relevance
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 3 hours ago
development of advanced statistical methods (e.g., AI/ML) in recent years. These foundation models represent significant advances in the field of modeling and computer science. The challenge today is to explore