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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
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multi-omics, tumor immunology, and in vivo genetically engineered mouse models. By bringing these approaches together, we strive to generate insights that will translate into better therapies and improved
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refinement of innovative research methodologies and will independently design, optimize, and execute complex immunologic and molecular experiments across in vitro, ex vivo, and in vivo model systems. Technical
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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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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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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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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