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Field
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-career scientist to develop cutting-edge machine learning approaches for understanding and designing pathogen antigens. This is a unique opportunity to help shape a new research program at the intersection
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, machine learning, and data science. The successful candidate will work with Dr. Yohanna Mejia Cruz on the development of sensing and computational frameworks to characterize human mobility and behavior
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. The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (www.foylab.xyz/) https://foylab.xyz/ , developing machine learning, computational, and mathematical models for improving
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with neuroimaging and neural signal processing tools, including fMRI, structural MRI, diffusion MRI, EEG, or related modalities. Strong publication record in AI, machine learning, computational
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Chekouo and his collaborators within and outside the University of Minnesota. The research will focus on the development of Bayesian statistical/machine learning methods for the data integration analysis
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beginning in fall 2026, preferably with an interest or focus on statistical foundations of data science, artificial intelligence and machine learning, theoretical statistics and probability, uncertainty
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with experts in AI and machine learning. The post-doctoral associate will also be responsible for data management and dissemination of scientific results. The successful candidate will join a
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. Preferred Qualifications Ph.D. in Epidemiology or Bioinformatics or related field. Prior experience in analysis with real-world data, high-dimensional data, causal inference, and/or machine learning
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genetically diverse mice under a multitude of conditions, and (3) develop multimodal machine learning models and methods to determine signatures and biomarkers to understand mechanisms distinguishing
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& Machine Learning (AI/ML), data science, or related fields. The role focuses on applying advanced biomedical, translational, and computational methods to address public health challenges and promote health