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and Industry collaborator Kurloo Technology, with the student primarily based at Curtin University (Perth, Western Australia). The objective of this project is to develop and test new methods
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lead to a PhD position at SPMS in NTU Singapore (based on performance). Key Responsibilities: Contribute to the development of algorithms Develop codebase in Python and perform large-scale simulations
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focused? Then this PhD position may be just right for you. We will support you in developing the right research competencies for a career in industry or academia. We offer a PhD journey for three years
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reliable transmission of demanding multi-modal data such as haptic feedback, video, and 3D sensing data. This project will develop AI-driven predictive network intelligence to anticipate delay and network
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loading histories in Francis turbine runners, including start–stop cycles, rapid load changes, dwell periods and mixed high–low stress sequences. Such loading conditions influence fatigue damage development
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and value creation in industry by developing better methods and smarter tools to do more with less—and faster. SFI-CELECT runs from 2026 to 2033 and is Norway’s most ambitious long-term research
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situations. FIFA’s innovation department has several academic collaborations developing a broader decision support system for helping match officials increase the certainty of decision making and to explore
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Scheme funded by the AHRC. Project Description The project focuses on Take One Picture (TOP) – a national programme for primary schools launched in 1995 by the National Gallery (NG) – to develop a new
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size, weight, power and cost constraints, accurate relative positioning and motion knowledge across platforms, coordinated data acquisition strategies, and the development of SAR image formation
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: Developing and applying life-course chronology methods to understand trauma, adversity, and social instability across the lifespan. Collecting and analysing data on cPTSD symptom dimensions, inhibitory control