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Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks (PINNs), Biologically Informed Neural Networks (BINNs), and
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with various methods that can incorporate domain-based constraints and other types of domain knowledge into machine learning and applying these techniques to problems in computational creativity
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application to medical imaging (e.g., MRI) · Experience with MRI data analysis, network science, graph theory, topological analysis, or related computational approaches, especially in Alzheimer’s
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developments in cognitive neuroscience, neurotechnology, and wearable sensing, and integrate new techniques into ongoing research. Duke is an Equal Opportunity Employer committed to providing employment
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. Postdoctoral Associate - Cognitive Neuroscience of Legal Decision MakingAn interdisciplinary team of lawyers and cognitive neuroscientis ts atDuke University seeks apostdoctoral associate tojoin a recently fun
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polyfluoroalkyl substances (PFAS) in North Carolina, the International Network For Researching, Advancing, and Assessing Materials for Environmental Sustainability (INFRAMES), and more. Our location in
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mapping the critical gene and cellular networks by which the Xist lncRNA ribonucleoprotein particles (RNPs) promote autoimmune diseases (see Dou et al., Cell 2024 , for more background). This work will
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, Computational Biology, Computer Science, or a related field. Additional Qualifications: • Proficiency in Python, R, SQL, and/or other relevant programming languages; knowledge of Java or C++; familiarity with
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interest to analyze genomics data and interpret biomedicine from data; experience or interest in cancer genomics, tumor microenvironment, single-cell data, spatial omics, immunology, gene regulatory networks
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microbial community behaviors. We seek to understand and engineer the spatiotemporal behaviors of biological networks using tools from systems and synthetic biology. A major goal is to design novel strategies