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Scholarship code: SRS-25032 This scholarship has been established thanks to the generosity and vision of the late Mr Anastassios Vassilogianis, benefactor of La Trobe University's Greek Studies program. It is a testament to his desire to support Hellenic studies and research for and by students...
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PhD Scholarship – What is reproductive wellbeing? Job No.: 675573 Location: 553 St Kilda Road, Melbourne Employment Type: Full-time Duration: 3-year fixed-term appointment Remuneration
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Futures Institute are seeking motivated and qualified candidates for up to 15 fully-funded PhD scholarship. The preferred candidate should have strong programming and data science abilities, with
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Status: Closed Applications open: 1/09/2024 Applications close: 30/09/2024 View printable version [.pdf] About this scholarship Description/Applicant information The MRIWA Odwyn Jones PhD
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the application for this scholarship The application for PhD admission will only be assessed where the applicant is successful in being awarded the scholarship Prior to submitting an application for the scholarship
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commenced a PhD, the term of scholarship will be reduced by the period of study already undertaken. Scholarships include learning and development expenses of up to $5,000 over the term of scholarship with
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PhD Scholarship Opportunities in Optoelectronic Semiconductors at the Faculty of Engineering and Faculty of Science (Multiple Positions) Job No.: 682543 Location: Clayton campus Employment Type
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The University of Adelaide and leading orthopaedic device manufacturer Austofix invite applications for two PhD projects, exploring Proximal Femoral Nailing for hip fracture patients About Austofix
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. The candidate will work closely with the CIs, post doc and PhD (machine learning) candidate, to develop choreographic structures used to generate movement and interaction capabilities that will define human-robot
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university research into commercial outcomes. Under this program, PhD students will gain unique skills to focus on impact-driven research. This Project aims to develop a predictive machine learning model