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*An interest in mixed-methods approaches, including also qualitative and case study approaches *Strong collaborative skills and ability to work well in multidisciplinary environments. *Excellent verbal and
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will permit addressing a host of unsolved problems in biology and has the potential to revolutionize the understanding of metabolism and signaling in healthy and diseased cells. The postdoctoral
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Improving Ocean Surface Boundary Layer Mixing Parameterizations with Langmuir Turbulence and Machine Learning The Atmospheric and Oceanic Sciences Program at Princeton University, in association
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, such as survey and sampling design and data analysis (in R or Python), meta-analysis and/or document/text analysis, or computational modeling *An interest in mixed-methods approaches, including also
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that drive immune responses after tissue amputation, with a focus on identifying signals that promote multi-tissue regeneration over scarring. Investigations into immune cell tissue dynamics will utilize a
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relevant field. Ideal applicants will have experience in energy-system transition modeling, linear and mixed integer optimization programming, energy-related techno-economic assessment, and geospatial
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relevant field. Ideal applicants will have experience in energy-system transition modeling, linear and mixed integer optimization programming, energy-related techno-economic assessment, and geospatial
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, graph theory and applications, mathematical biology, financial mathematics, mathematical approaches to signal analysis, information theory, structural biology and image processing. The term of appointment
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-evolutionary biology -ecological genetics -metabolomics -proteomics -cell signaling -bacterial/yeast/animal cell molecular biology and genetics
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experience in optimization methods and applied energy system modeling, particularly macro-scale energy systems; familiarity with algebraic modeling languages used for linear and mixed integer programming (e.g