31 machine-learning-phd "ADAPT Centre" scholarships at University of Technology Sydney
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top researchers in data science (UTS) and social sciences (WSU and ANU) to develop statistical machine learning solutions for social good. This 3.5-year PhD project focuses on addressing social
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on disadvantaged ones. You will work with top researchers in data science (UTS) and social sciences (WSU and ANU) to develop statistical machine learning solutions for social good. This 3.5-year PhD project focuses
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Overview The PhD project will focus on surface functionalisation, bioconjugation (specific labelling) and evaluating the stability and temperature sensing performance of the new nanothermometers in
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for full PhD studies at UTS, including dual doctoral degree. A UTS funded top-up scholarship will be provided to supplement the stipend paid by the China Scholarship Council (CSC) Scholarship. The top-up
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of this Scholarship. [1] On campus studies include face-to-face and/or online (remote) learning applicable to all degrees except online degrees and distance mode degrees. Selection process Academic merit based
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leaders in information technology in Australian organisations. The focus of the graduate's education is in computer-based information systems, with a strong practical flavour. The periods of industry based
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an unconditional offer of admission to the UTS PhD program Intend to pursue a PhD in one of the priority academic research identified by VIED and/or within the research strengths of UTS. The final selection
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Holders of a Commonwealth Supported Place (CSP) are not eligible for this scholarship. [1] On campus studies include face-to-face and/or online (remote) learning teaching activities. This does not include
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received Recognition of Prior Learning (RPL) from another institution must complete a minimum of 24 credit points at UTS in their chosen Juris Doctor course. The RPL and 24 credit points completed in
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Commonwealth Supported Place (CSP) are not eligible for this scholarship. [1] On campus studies include face-to-face and/or online (remote) learning teaching activities. This does not include fully online and