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to study a PhD focused on Chemical Engineering or other relevant fields, e.g. Material Science & Engineering. Eligibility criteria Applicants are required to: Full-time enrolment Show the capacity to carry
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HDR Scholarship in flow assurance and corrosion mitigation at Curtin Corrosion Centre. Curtin University, in collaboration with Chevron Australia, offers one fully funded PhD positions. This research
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the reactions of several chemical species and the results in varying corrosivity of such environments. To tackle this interdisciplinary problem, we are looking for a PhD candidate with a strong chemistry and/or
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Status: Open Applications open: 21/01/2025 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information This PhD scholarship is funded
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Status: Open Applications open: 20/06/2022 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information The candidate will work on a research project on the development of crushed hardened waste concrete as a recycled aggregate...
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Status: Closed Applications open: 14/10/2024 Applications close: 30/11/2024 View printable version [.pdf] About this scholarship Description/Applicant information This PhD Scholarship is funded
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trait comprised of a set of emotion processing deficits: difficulties identifying one's own feelings, difficulties describing feelings, and an externally oriented thinking style whereby one rarely focuses
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deep learning. The purpose of this scholarship is to support a PhD student to contribute to the advancement of infrastructure monitoring technologies with strong industry collaboration. Student type
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behind the catalytic properties and performance. Aims The successful PhD candidate will tackle key technologies in this project to develop efficient and reliable anodic catalysts for ammonia oxidation
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predictive capability for post-TAVR outcomes against traditional metrics. iii) Incorporate the AI-based frailty evaluation into surgical risk scores for a comprehensive risk prediction. iv) Examine the model's