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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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for drone swarms. The role will focus on multi-agent visual perception techniques. Group website: https://personal.ntu.edu.sg/wptay/ Key Responsibilities: Develop signal processing and machine learning
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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system
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Chemical Biological Centre (https://www.umu.se/en/kbc ) at Umeå University and is affiliated with the national Centre of Excellence – Umeå Centre for Microbial Research (UCMR) (https://www.umu.se/en/ucmr
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understanding of how acoustic waves are generated and transmitted in wells. The LeDAS project aims to overcome these challenges by combining physical modelling, advanced signal processing, and machine learning in
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Computer Science, Natural Language Processing (NLP), or a related discipline. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405692/research-fellow-in-… Requirements Additional
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imaging. Key Responsibilities: Design and carry out ultrasonic experiments and develop signal processing techniques Develop theories of acoustic wave propagation in complex materials Design numerical
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candidates will have specialist knowledge in signal processing and algorithm design, with experience in machine learning, AI system development and reinforcement learning along with a strong publication record
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cancer. RESPONSIBILITIES Reporting to Dr. Dawn Cochrane, the incumbent will be responsible for: The project will involve characterization of innate immune signaling in LGSC cell lines and testing novel