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system packaging. Proven expertise in advanced signal processing for electronic and communication systems, including operation under low-SNR, noisy, interfered, or time-varying conditions. Demonstrated
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approaches for multi-frequency and multi-constellation observations. This may include signal selection and quality control, low-elevation satellite arc processing, spectral analysis, reflector-height
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the VR viewer's point of view, and manually coding VR events and the participant behavioural response. This project focuses on automating this process through the training of AI models to detect
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Large language models increasingly adapt using external feedback to alter inference-time behaviour, persistent state or model parameters. However, the signals that drive these changes may be noisy
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of creating robust radio frequency fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding
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fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding track record in conducting research. You
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for Parbinata in the Student Experience portfolio As the successful candidate you will be a liaison point between the project team, wider portfolio, university and internal and external client groups, and work
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as a first point of contact for contracting queries from internal stakeholders, providing guidance on processes, templates, and procedures; Responsible for in periodic review of the contract templates
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Position Description About the Role Join the International Centre for Point-of-Care Testing (ICPOCT), a globally recognised leader in point-of-care testing research, education and service innovation. As the
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through recruitment events and related activities. Support Program Advisors to complete student recruitment process from initial enquiry to the point of enrolment and ensure provision of high level of