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on learning from human demonstrations for robot manipulation used in household service and manufacturing. The roles of this position include: Develop robotic foundation models for general manipulation based
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fundamentally new alloys for extreme environments across nuclear fusion/fission reactors, aerospace gas turbines and concentrated solar power. This involves: (1) Alloy Design, supported by computation methods; (2
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About the Opportunity About the Opportunity Northeastern University Pharmaceutical Industry Fellowships Program is a two-year experiential program designed to advance lifelong learning and the
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processes. The excellent outcrop exposure due to limited vegetation cover, and extensive mineral occurrences provide a unique natural laboratory to advance predictive mineral system models. Our research will
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motivated Postdoctoral Associate to join a research project focused on multiphysics simulations and computational modeling. The successful candidate will develop and perform finite element-based simulations
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learning and multimodal AI systems. Develop novel attack, detection and defence techniques for adversarial examples, model vulnerabilities and jailbreak attempts. Design and implement research prototypes
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, and be highly proficient in Python, Large-Language Models and Natural Language Processing. Qualifications • PhD in Computer Science, especially in the context of NLP. • Coding
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-throughput computational screening. Experience in one or more of the following areas is highly desirable: machine/deep learning (graph neural networks, generative models, transfer or active learning
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Implementing Bayesian networks and uncertainty quantification techniques to account for sensor noise and model confidence limits Designing, training, and fine-tuning computer vision models to extract clinically
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. Development cycle including circuit design, simulation, modeling, layout, verification and measurements. Develop scripts and algorithms for analog IC design Prepare research papers/reports/technology