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Field
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in the 2025 QS World University Rankings by Subjects. We are hiring a Research Fellow in Signal Processing and Machine Learning to develop signal processing and machine learning algorithms and methods
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-preserving algorithms of stochastic partial differential equations on graphs”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no more than five years
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-preserving algorithms for nonlinear stochastic phase-field equations”. Qualifications Applicants should have a doctoral degree or an equivalent qualification and must have no more than five years of post
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to join our team in advancing new diagnostic technologies. This project focuses on developing real-time electrochemical sensors for continuous, on-site monitoring of key analytes relevant to environmental
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on complex system subject to various constraints. Design and develop real-time algorithms. Simulate and evaluate system performance. Document research outcome to publish at international conference / journal
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-modal fusion techniques for localization and mapping; (b) develop and implement algorithms for autonomous robots; (c) design and execute experiments to validate and refine algorithms and systems; (d
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inversion techniques and signal processing. Strong programming skills, Proficiency in scientific computing (e.g. Python, MATLAB, or similar) for algorithm development and data handling. Experience with sensor
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underlying pain and distressing symptoms in people who are no longer able to explain their suffering. The project will combine traditional assessment scales with sensor-based measurements, with novel analyses
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sampling-based and reinforcement learning-based motion planning algorithms for multiple robotic arms in automotive manufacturing, including testing, performance evaluation in both simulation and actual
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traditional assessment scales with sensor-based measurements, with novel analyses based on signal processing and artificial intelligence. 5-D is part of an innovative, active, and multidisciplinary research