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the start date of the appointment. Demonstrated expertise in quantitative data analysis, including advanced statistical modeling (e.g., mixed-effects models, longitudinal analyses, mediation/moderation
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modeling, in-clinic and remote psychophysiological data collection (e.g., heart rate variability and electrodermal activity), computerized cognitive assessment, implementation science, and ecological
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verbal communication skills. Ability to work both independently and collaboratively in a research environment. Desired: Preferred candidates will have experience using MATLAB for data analysis, modeling
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laboratory methods for potential translation to radiation oncology clinics; develops and tests molecular diagnostic assays in pre-clinical models and in specimens collected from human patients receiving
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analysis expertise Predictive modeling Requires successful completion of a background check Qualified candidates may be requested to complete a pre-employment physical, including a drug screen Additional
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microenvironment, with particular emphasis on macrophage-targeted immunotherapies and advanced preclinical models using cutting-edge technologies. The Post doctoral scholar will play a key role in building and
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roles of pathogenic and protective roles of novel B cell subsets in multiple sclerosis and animal models of multiple sclerosis, as well as the impact of biological aging on the pathogenesis and clinical
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investigates how radiation therapy reshapes the tumor immune microenvironment, with particular emphasis on macrophage-targeted immunotherapies and advanced preclinical models using cutting-edge technologies
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data analysis (e.g., MRI preprocessing, statistical modeling, familiarity with tools such as FSL, SPM, AFNI, or similar platforms). Proficiency in statistical programming (e.g., R, Python, MATLAB
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dysfunction, and inflammatory signaling to brain–vascular pathology, using integrated in vitro and in vivo models. Responsibilities · Study interactions between endothelial dysfunction, mitochondrial