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- Machine Learning in Biophysics About the Opportunity The SymBioSys Lab (www.simbiosyslab.com ) is seeking an independent and creative postdoctoral associate to support research on computational modeling
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intereactions in the broad field of glycoprotein-based therapeutic design. Strong background and experience with applications of machine learning (especially Explainable Artificial Intelligence – XAI) is required
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university-level communication campaigns and PhD Network initiatives including Industry PhD, Dual PhDs, the Interdisciplinary PhD and future niche programs. Qualifications : PhD in learning science or higher
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-learning based exoskeleton controllers to work across tasks Designing and validating new robotic lower-limb prostheses Exploring other high-risk high-reward research areas related to device design, control
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, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. To learn more about Northeastern University's commitment and support of diversity
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machine learning, statistical/mathematical modeling, and/or decision theory expertise. To learn more about the work in the group, check out the group website: https://imani.lab.northeastern.edu
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poisoning attacks in machine learning training pipelines, and developing privacy attacks and privacy auditing methods to understand the privacy leakage of ML models. The postdoctoral candidate will perform
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expected to have strong machine learning, statistical/mathematical modeling, and/or decision theory expertise. To learn more about the work in the group, check out the group website: https
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the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines
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disorders. Many of the statistical techniques emphasized in the lab span disciplines such as network theory, dynamical systems, and machine learning, among others. Accordingly, the objectives of the lab