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particular: Design algorithm for localization using ultrawide band (UWB) sensors. Conduct experiment, collect data, and analyze results. Simulate and evaluate system performance. Document research outcome to
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, distribution, and stock take. Conducts asset sighting/ confirmation on a yearly basis for audit checks. Prepare monthly, quarterly, yearly reports as required. Assist with any ad-hoc duties as assigned
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, and/or postdocs, as well as mentoring junior faculty. Experience in leadership and/or service roles. Application Procedure The closing date is 11 November 2025. Applicants are invited to submit
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Processing and Machine Learning to develop signal processing and machine learning algorithms and methods for communication networks. Key Responsibilities: Develop signal processing and machine learning
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noise, allowing only specific algorithms with relatively shallow quantum circuits to be executed. In the NISQ era, hybrid algorithms run partially on quantum computers and partially on classical computers
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to): • AI and algorithmic culture • Database, models, and representation • AI, environment, and sustainability • Ethics and governance of AI development • AI in social media and creator culture
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Responsibilities: The Research Associate is responsible for Formulating new algorithms for sampling from conditioned SPDE models Developing a mathematical theory showing their correctness and reliability Find
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quantum sensing technologies (e.g., Rydberg atomic sensors) for wireless communications and sensing. Key Responsibilities: Develop quantum-related theories, models, and algorithms for various communications
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state-of-the-art facilities to work on the following: Developing advanced path planning, search, and exploration algorithms for multi-UAVs systems in unknown and complex 3D environments. Designing
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electronic converters for distributed energy resources and microgrids; High voltage DC transmission and distribution components and systems; Electric propulsions systems for land, sea and air; Wide bandgap