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leading role in the synthesis of network observations, including forest inventory data (e.g. from the USDA Forest Inventory and Analysis program) and flux tower data (e.g. from AmeriFlux and FLUXNET
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: A Ph.D. in biology, psychology, animal behavior or neuroscience-related field and experience working with animal models is required. Experience with neuroendocrine and/or behavioral analysis is
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@iu.edu Additional Qualifications Preferred Qualifications: · Background in cancer immunology or radiation immunotherapy · Experience with multicolor flow cytometry and data analysis · Familiarity with
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. Coordinating studies involving human participants; Processing and analyzing biological samples; Data management including handling large data sets and performing statistical analysis; Communicating results
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experience in one or more of: large-scale data analysis, time-series photometry, spectroscopy, astrometry, Bayesian/statistical inference, and/or software development for astronomical datasets. Department
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leading role in the synthesis of network observations, including forest inventory data (e.g. from the USDA Forest Inventory and Analysis program) and flux tower data (e.g. from AmeriFlux and FLUXNET
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Ph.D. (or equivalent) in Astronomy, Astrophysics, Physics, Planetary Science, or a closely related field by the start date. Demonstrated experience in one or more of: large-scale data analysis, time
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graduate students. Current research areas include: hadronic amplitude analysis and scattering theory, heavy-ion collisions and the properties of hot QCD matter, hadronic probes of beyond-the-Standard-Model
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, creative, and well-organized candidate with experience in stem cell and cancer biology, molecular biology, next-generation sequencing techniques, bioinformatics, proteomic analysis, and animal handling
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Interest in analyzing biomedical/clinical/genomics datasets using computational approaches such as longitudinal analysis, mixed-effect modeling, regression, and AI/machine learning in large-scale electronic