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will have an opportunity to learn or become more proficient in the techniques used in the lab, including lung organoids, precision cut lung slices, transgenic rodent models, preclinical models of lung
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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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terminal degree with deep knowledge of Artificial Intelligence and Machine Learning. Desired Qualifications Ability to help create scalable Artificial Intelligence workflows. Experience in working with
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intelligence (including machine learning). Desired Qualifications Publications in health sciences and biomedical journals. Demonstrable interdisciplinary research experience. Deep understanding of machine
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time of hire is required, along with a strong theoretical or practical background in statistical mechanics, quantum dynamics, or Machine Learning. Demonstrated experience operating and maintaining a
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of findings from in vitro and in vivo models in human disease. The candidate will have an opportunity to learn or become more proficient in the techniques used in the lab, including lung organoids, precision
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; Prepare project reports and present findings; Provide educational sessions and professional learning opportunities for CETE staff and project partners; Engage in national professional networks related
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evaluations to diagnose ADHD and comorbid disorders (e.g., anxiety, depression, learning disorders), writing integrative reports with individualized recommendations, and providing feedback to patients Providing
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to detail, and willingness to learn new techniques Desired Qualifications Experience with mouse handling or in vivo tumor models Experience with flow cytometry or radiation biology Familiarity with scientific
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machine learning. In addition to leading research initiatives, the postdoc is expected to collaborate closely with graduate students, faculty, and industry and DoD partners. Key responsibilities include