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application, developing groundbreaking algorithms and systems that mimic natural processes to elevate the capabilities of robotic systems. In this role, you will engage in transformative projects that utilize
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, developing groundbreaking algorithms and systems that mimic natural processes to elevate the capabilities of robotic systems. In this role, you will engage in transformative projects that utilize bio-inspired
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sustainable manner. Key Responsibilities: Responsible for developing explainable machine learning algorithms for TBM risk identification Developing practical tools to optimize TBM operation parameters Writing
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efficient algorithms with provable statistical guarantees, using tools from: high-dimensional statistics, optimization, probability theory, etc. These positions would be especially relevant for those with a
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payment processing and ensure timely submission of all relateddocumentation. •Support the promotion of HIPER events by developing and distributing electronicdirect mailers (EDMs). •Assist with research
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communication strategy. Organise communication activities, including scheduling meetings, distributing messages, and managing feedback channels. Support the organization of stakeholder engagement events (e.g
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articles) in electronic format (either .doc or .pdf format) for uploading to the intranet and dissemination to students. No printed materials will be distributed to students. Students are also not expected
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develop algorithms to identify and predict SRL subprocesses from multimodal learning data (e.g., EEG/fNIRS, eye-tracking, and think-aloud protocols); • Analyze large-scale learning analytics data
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algorithms. Maintain legacy Laravel/PHP components as needed. Maintain server deployment using XAMPP/Apache. Oversee the migration of the current DigitalOcean-hosted prototype to AWS, including setting up
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. The project officer will be responsible for integration of developed sensing, perception and control algorithms in given robots and validate their effectiveness. Key Responsibilities: Reconfigure hardware