70 algorithm-development-"Multiple" "NTNU Norwegian University of Science and Technology" PhD positions at Curtin University in Australia
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Status: Closed Applications open: 15/07/2024 Applications close: 1/08/2024 View printable version [.pdf] About this scholarship Description/Applicant information The project aims to develop
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et al., 2020). It provides a single-session, universal intervention delivered to between 10 and 200 individuals at a time, and it contrasts with other online programs that are formed from multiple
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-temperature performance. The PhD project will focus on the development, investigations and optimizations of new electrode and electrolyte materials. The project will expand the student’s skill set in scientific research
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to its low volumetric energy density and substantial energy/economic demands associated with production, storage, and transportation of hydrogen. These challenges can be addressed by developing ammonia
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examine emotional processing during Emotion Focused Therapy (Watson & Sharbanee, 2022; Greenberg & Johnson, 1988). The specific focus of the project will be open to being developed in collaboration with
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) implement the COMPAS survey across two waves at St John Ambulance, (c) develop a predictive algorithm that can predict suicidal intentions and behaviours 12 months later, (c) use the algorithm to stratify
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novel opportunity to automate and improve the frailty assessment process, aiming for greater consistency and predictive accuracy. Aims i) Develop a deep learning algorithm to autonomously detect and
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brings together an industry partner, a university and Australia’s leading science agency, CSIRO, to co-develop a four-year industry-focused PhD project. The program supports a three-way partnership aiming
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vehicles capture videos or images for underwater pipes for inspection purposes. However, highly blurry or poor-quality videos can only be received under noisy environment. Therefore, developing accurate
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the development of new algorithms for processing, analysis and inversion of active and passive seismic data and the application of these algorithms to field data. Student type Future Students Faculties and centres