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Details A brain-computer interface (BCI) provides a direct communication pathway between a human brain and an external device. Using appropriate sensors and data processing algorithms, a BCI maps patterns
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. Leverages data analysis and web development skills to build a platform that optimizes matching algorithms, provides intuitive user experiences, and integrates comprehensive data analytics tools. 1. Manages
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tracked and the growth factor and exosome data will be compared using machine learning algorithms to identify growth factors and exosome numbers that correlate positively or negatively with clinical
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climate events in the Western US. CW3E is developing and implementing weather and climate observations, numerical models, machine learning algorithms, and decision support tools focused on atmospheric and
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/change data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solutions for highly complex application
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: Port multi-sensor SLAM pipeline to embedded computing platforms. Optimize SLAM modules for real-time performance under thermal and power constraints. Design modular SLAM architecture with ROS2 interfaces
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, such as data storage, budgets, expenses, assets, and ethics approvals. Key Responsibilities: Design and implement research, including statistical models and algorithms to extract insights from data Develop
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the AI-Driven Leadership Program. This course provides leaders with foundational knowledge of artificial intelligence concepts, terminologies, and technologies to support informed decision-making and
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This post is part of ESA’s Junior Professional Programme. We are looking for enthusiastic candidates with up to 2–3 years of relevant professional experience after their Master's degree to join ESA
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of identified cell types and computational modeling. Thus we expect these circuit-level reconstructions to inform specific biological experiments, enabling dramatic leaps in our understanding of brain function