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qualifications required of employees assigned to the job. This position assists senior laboratory personnel in planning methods and techniques. Work requires exercising independent judgment and basic theoretical
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of equipment. Data & writing: Clean and organize datasets; produce basic statistics/figures; draft Methods/Results sections, figure captions, and site summaries; contribute to abstracts and manuscripts. *Lead
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descriptive, longitudinal, and regression analyses to assess associations between reproductive and cardiovascular health outcomes. o Apply causal inference methods and, where applicable, machine learning
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descriptive, longitudinal, and regression analyses to assess associations between reproductive and cardiovascular health outcomes. o Apply causal inference methods and, where applicable, machine learning
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of Internal Medicine, is seeking a dynamic, patient-focused, compassionate clinical physician specializing in Obesity Medicine to join our expanding comprehensive weight management program at the University
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the goal of assisting students in discovering their passion, people, and purpose. To that end, we aim to foster an environment that encourages employees to embrace innovative service delivery methods to best
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medical students. It also includes six residency programs and over 13 clinical fellowship programs, along with numerous research fellowship positions. These programs cater to medical students, residents
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, or related field, with significant expertise in big data analytical methods. The candidate must have expertise in cognitive, psychological, and neuroimaging data collection and analysis methods and can train
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, immunohistochemistry, and/or histology analyses. Molecular biology methods (e.g., RNA interference, Western blotting, PCR, qPCR, ELISA). Cell culture, including IPSCs or organoids, and functional assays. Surgical and/or
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scientific research projects and acts as a principal investigator or co-principal investigator. 2. Researches and stays current with project related scientific literature. 3. Sets up new methods or assays