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This self-funded PhD opportunity sits at the intersection of several research domains: multi-modal positioning, navigation and timing (PNT) systems, AI-enhanced data analytics and signal processing
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with hands-on experience using cutting-edge instrumentation and exposure to the regulatory and industrial landscape of food safety, positioning them competitively for future roles in academia, government
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Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
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resilient environments, improve public health and security, and understand the role and impact of bioaerosols on public and planetary health. About the Role The research fellow position is funded through
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evaluation. Furthermore, they will cultivate crucial transferable skills in complex project management, academic writing, and public presentation, positioning them for a leading career as a researcher
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of novel AM materials on corrosion response of key component and develop a model to predict their behaviour. To address the goals set for tackling international climate change, the power sector needs
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project based on the applicant's interests). The project’s AI-enhanced solutions will set new benchmarks for intelligent electronics across aviation, electrification, smart mobility, cybersecurity, and
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Conference Centre Ltd! We are looking for a genuine person with warmth and enthusiasm, who will bring a positive can-do attitude to work every day. A genuine passion for hospitality and customer service is
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. While autonomy is becoming more integrated into modern mobility, the reliability of Position, Navigation and Timing (PNT) systems—especially in environments where GNSS signals are denied or degraded
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applicant will be very well positioned to have a highly successful career in the water sector or in an academic role. We will support your development into a dynamic, confident and highly competent researcher