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to research and teaching in algorithms and computational complexity. While the focus of this appointment is algorithms and complexity, exceptional applicants from all areas of Computer Science will be
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
Internal Number: 25301 SOFTWARE DEVELOPER 2, Computer Science and Artificial Intelligence Lab's(CSAIL) - The Infrastructure Group(TIG), participates in the full life cycle of application development
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experimentation Support scientific research projects and develop geospatial algorithms while collaborating among diverse domains to further scientific understanding and the use of analytic tools Grow in career and
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. The successful candidate will assist in developing novel algorithms and integrating them into robotic platforms, helping to push the boundaries of embodied intelligence in both research and practical deployment
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occasionally be required during early mornings, evenings, and weekends. If selected, specific scheduling arrangements will be discussed between you and the leader. The Role Prepare and present lessons, lectures
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the world, ii) developing AI+Physics end-to-end reconstruction algorithms that will enable a new regime of spatiotemporal hierarchical characterization. The project is mainly computational with
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and dynamics, which we also plan to investigate using AI-based pattern recognition algorithms. In this project, the PhD student will: Run the MIT General Circulation Model (MITgcm) together
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into their training process. By fusing the theoretical rigour of control theory with the flexibility of deep learning, the goal is to develop a new framework to train magnetic control algorithms for tokamak reactors
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Specialist with the Cytogenetics Team at the University of Washington Medical Center – Montlake. As a Clinical Cytogenetic Technologist Specialist, you will prepare specimens for cytogenetic and FISH analysis
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be focused on learning how to develop algorithms, performing biochar characterization tests, and characterizing microbial communities that colonize biochar in different ecosystems. Learning Objectives