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complex datasets, including model fitting, statistical testing, and data visualization in R and/or Python. Ability to work closely with experimentalists to ensure analyses complement experimental goals and
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empirical methodologies and models Collecting, managing, and structuring quantitative datasets Conducting statistical analyses of complex datasets and interpreting results Report writing and manuscript
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control, numerical analysis and scientific computing risk-averse and fractional models, digital twins and data-assimilating models, machine learning and neural networks (including operator learning and
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We are seeking creative and energetic candidates with strong experience in multimodal machine learning and human behavior analysis and modeling for a one-year Postdoctoral position. Using recent
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for isolating milk proteins and characterizing their structure. We are particularly interested in exploring the functional properties of these proteins using mammalian cell line models. Position Overview The Food
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models for cross-country and global monitoring, including linkages, spillovers, and macro-financial risks Applications of large language models and text-as-data methods to extract signals from news, policy
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will engage in research projects spanning Business Model Transformation, Operating Model Transformation, Organizational and Workforce Transformation, Performance and Metrics, Data Privacy and
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Fellow in Hydrology and Water Resources. The successful candidate will conduct advanced research in hydrologic modeling, flood forecasting, extreme weather, snow observation, soil moisture data analytics
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Analysis: Expertise in applying bioinformatics approaches to analyze complex datasets, including model fitting, statistical testing, and data visualization in R and/or Python. Ability to work closely with
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expertise in at least one (or more) of the following areas: Computer Architecture/Systems: Design, modeling, simulation, and/or physical design of heterogeneous system/processor architectures; Silicon