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to achieve scalability in terms of the simulator systems. The work will be done in close collaboration with the physics team to be able to develop optimizations also at the algorithmic level in a co-design way
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studies. The Research Data Analyst will contribute to ongoing development, maintenance, and use of a research data pipeline that collects and analyzes data. Specific Duties & Responsibilities Collect data
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for Artificial Intelligence. The position aims to strengthen methodological and algorithmic work on one or more of the following axes: Optimization and learning on very large models and datasets, improving
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Welding in Vacuum We are developing a laboratory robotic simulator for testing stud welding in high vacuum (≥ 10⁻³ Pa) for space applications, with future utilization directly in orbit. The system includes
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autonomous systems. Support development, testing, and evaluation of machine learning and autonomy algorithms. Assist with implementation of software frameworks and data processing pipelines. Provide technical
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description: Work Area: Research and development of new algorithms for processing and classifying physiological signals in ambulatory systems Project overview: Processing of physiological and inertial signals
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: Alexandre José Malheiro Bernardino (ist13761) Organic Unit: Institute of Systems and Robotics Scholarship Theme: Research in object search algorithms for autonomous robots Duration: 6 months Maximum Duration
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developed: Collaborate in studies of a combinatorial optimization problem of current interest. Propose new algorithmic solutions for its resolution. Cooperate in the extensive experimental analysis
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developed: Collaborate in studies of a combinatorial optimization problem of current interest. Propose new algorithmic solutions for its resolution. Cooperate in the extensive experimental analysis