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Field
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, ● Methods for heterogeneous treatment effects estimation, ● Methods for multiple exposures, multiple outcomes, ● ML and AI methods for causal inference, ● Bayesian causal inference, ● methods
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be shown. Preferred Qualifications: ● Experience analyzing genomic and/or metagenomic data using computational methods. ● Experience developing new approaches for the analysis of biological
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animal experiments, etc. • Perform data collection and analysis • Test, optimize, troubleshoot new and existing methods and techniques, and update protocols • Prepare and maintain biological stocks
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Jersey. This project integrates residential histories, geospatial air-pollution estimates, cancer registry data, medical and pharmacy records, patient-reported outcomes, and circulating biomarkers
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project. This research position will investigate models and their uncertainty for underwater acoustic propagation to better estimate the spatial and temporal properties of underwater soundscapes
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methods for disease prediction, precision medicine, and clinical decision support. Applicants must have a Ph.D. in biomedical informatics, computer science, data science, biomedical engineering, statistics
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. equivalent to “Lecturer”, fixed term contract of 6 years, no tenure track option) at the Department of Cognition, Emotion, and Methods in Psychology. The successful applicant will work in close collaboration
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) Laboratory. The group develops clinically grounded artificial-intelligence and data-science methods to derive scalable digital biomarkers from echocardiography, cardiac computed tomography, electrocardiography
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project milestones and contribute to technical reports and project updates. • Prepare manuscripts, presentations, and other scientific materials describing research methods and findings. • Prepare materials
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should be motivated to develop AI methods and apply them to clinically or epidemiologically meaningful research questions. We are particularly interested in candidates with experience in longitudinal data