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machine learning analyses will be performed to determine correlations across stimulation settings and body systems as well as to develop predictive models and biomarkers for physiological and clinical
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Responsibilities: Conduct basic, translational, and clinical research involving animal models and/or human subjects. Design and implement experiments related to auditory perception and neural coding Develop and
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the atmosphere and understand transport pathways by combining observations of PFAS in precipitation from the National Atmospheric Deposition Program with atmospheric modeling techniques. This position primarily
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mainly be responsible for developing the building blocks of a forest planning model (adapting inventory data, assessing current growth and yield projections, defining current forest management strategies
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Redshift Survey (GRS) team. The appointment will focus on simulations and analysis that underpin the survey: end-to-end grism simulations and realistic mock catalogs; modeling and optimization
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inflammation can promote atrial electrical, Ca2+-handling and structural remodeling that initiates AF in a model of metabolic syndrome. You will be expected to use mouse models to be both mechanistic and
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collaboratively with other researchers and practitioners. Preferred Preferred expertise in integrated pest management, insect resistance, modeling, and population genetics Experience in rearing and handling
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multiphase flow in porous media. 80% - Applying numerical and analytical infiltration models to quantify groundwater recharge potential under varying hydrogeologic conditions. In parallel, the researcher will
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disease which combines behavioral and genetic models, metabolic, neuroendocrine and imaging techniques in living animals as well as sophisticated molecular and structural biology analyses of neuropeptides
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computing skills: knowledge of R and/or mPlus, longitudinal data analysis, structural equation modeling Evidence of ability to work as an independent scientist while collaborating with teams of peer