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Field
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://reporter.nih.gov/search/zrvO6K1hkE2ue5ADGGGpag/project-details/10253367 ). This large clinical study is in the final stages of data collection; many products (i.e., peer-reviewed publications and presentations
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applications Familiarity with machine learning/predictive modeling in healthcare. Experience with big data tools (SQL, Spark) or cloud-based platforms (Azure, AWS). Proficiency in Spanish or other languages is
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of design, computation, and robotics. ARG's research interests include topics such as robot learning, human-robot interaction, Generative AI, computer vision, closed-loop control, extended reality (XR), and
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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, innovative research and team-based health care delivery. What we want The Postdoctoral Research Associate, under general supervision, conducts lab experiments, analyzes and communicates data in the form
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data and high-throughput, multi-dimensional -omic data to study neurodegeneration and diseases of the central nervous system, with an emphasis on Alzheimer disease, Parkinson’s disease, and other
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principle not be enough for this position. Fluency in data analysis in R, and strong experimental skills are essential. Experience with field observational studies, handling or large datasets and mathematical
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be involved in projects to perform big-data research, bundling genetics, multi-omics, biomarker, clinical, and histopathological data, to harness the full range of biologically relevant data to better
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activities such as working with large, longitudinal datasets, designing and implementing lab-based experiments, coding video data, writing manuscripts, presenting research, and mentoring undergraduate and
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quantitative data analytic skills and experience conducting statistical analyses with large databases. Strong writing and verbal communication skills. Knowledge of transgender health, LGBTQ health disparities