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About the Opportunity About Northeastern Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned
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-augmented generation (RAG) approaches Systems and mathematical modeling of biological or complex systems Natural language processing and machine learning Data harmonization and integration Record of research
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Engineering, Computer Engineering, Computer Science, AI, Data Science, or a closely related discipline. Strong research background in machine learning, optimization, AI systems, or data analytics. Experience
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with vessel protected volume estimates to identify safety-buffer overlaps, developing multi-agent path-planning, and machine-learning methods for corridor allocation, airspace capacity optimisation, and
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Requirements: Candidates should hold a PhD in civil engineering, computer science, electrical/computer engineering, robotics, or a related field. Experience in computer vision, deep learning, 3D reconstruction
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, and additional expertise in mechanical testing and materials characterization will be considered a strong advantage. Required Qualifications PhD in Materials Science, Mechanical Engineering, Additive
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modeling approaches will be considered a strong advantage. Required Qualifications PhD in Chemical Engineering, Materials Science, Mechanical Engineering, Chemistry, Electrochemical Engineering, or a closely
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evaluate computer vision and machine learning algorithms empirically. Author research articles at an international level for peer-reviewed conferences. Engineer software based on the research outcomes
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support the development of AI-driven and data-driven approaches for the discovery and design of functional materials. The role will involve the development and application of machine learning models, high
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About the Opportunity Conduct research on machine learning, control theory, and synthetic biology. The work will combine tools from dynamical systems, control theory, and the theory of algorithms