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: leverage native capabilities, including Virtual Agent, Predictive Intelligence, and GenAI, to enhance self-service and drive significant operational efficiency. Execute Strategic Project Leadership: Drive
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understanding of ML approaches for classification, anomaly detection, and prediction using high-frequency data. Experience with multilevel longitudinal data, missing data strategies, and clinical outcome modeling
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modeling – including predictive models for Alzheimer’s disease with a particular focus on sex-specific (female) risk. The harmonization pipeline will integrate female-specific and cognitive variables/items
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Specialist B Job Profile Title Research Specialist B Job Description Summary The laboratory studies breast and ovarian cancer with the goal of predicting response to therapy and developing new therapies (test
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analytic methods including regression analysis, survival analysis, mixed effects models, multivariable analysis, causal inference methodology (e.g., g-methods), predictive modeling, and interprets results
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can be inhibited, leading to a form of topological delocalization. This phenomenon has never been experimentally tested. The proposed internship will contribute to the preliminary design and modeling
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recognized program on topics such as: · Integrating water resource and agricultural related datasets to develop and enhance process-based and AI models to analyze and predict the impact of agricultural and
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-3180. Department: COSMOS - Provisional Positions Department's Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Extra Help Assistant will help develop socio-computational models to advance our
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Website: https://cosmos.ualr.edu/ Summary of Job Duties: The Extra Help Assistant will help develop socio-computational models to advance our understanding of cyber campaigns run on social media grounded in
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, multimedia, and metadata. The Graduate Research Assistant will work with the research team to develop predictive models of socio-technical behaviors and identify key actors and key groups responsible