277 assistant-professor-computer-science-data "https:" "https:" "https:" "https:" "Dr" "St" "St" Master positions
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that addresses critical challenges in healthcare. As the successful candidate, you will bring: Essential criteria: Masters (or Honours) in computer science, data science, biomedical engineering or neuroscience
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Student type: Domestic and international students Study stage type: Future study, Current study Study area: Science Need help understanding the process? Visit our scholarship guide Application How to apply
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For: Assistance with study Number on offer: One Offer rate: Annually Value: $5,000 The Scholarship was established in 2020 and is funded by Mark Barrow, Dean of the Faculty of Education and Social Work from 2018
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About the scholarship Application status: Apply now Applicable study: Master of Design Opening date: 28 January 2026 Closing date: 11 March 2026 Tenure: One year For: Assistance with study Number
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Prac Payment (CPP) is provided by the Australian Government to assist students with undertaking a mandatory placement (also known as a practicum) as part of a higher education course in teaching
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application form. It is awarded on the recommendation of the relevant faculty or University of Auckland committee. For more information about the awarding process for this scholarship, award or prize, download
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The Energy Education Trust of New Zealand Masters’ Scholarship was established to assist students to undertake full-time study in the fields of science, economics or engineering and related fields
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awarded on the recommendation of the relevant faculty or University of Auckland committee. For more information about the awarding process for this scholarship, award or prize, download a copy of the
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enrichment activities prior to, during, and after studying in Australia. Please visit this country profile and this web page for more information on scholarship benefits. Applicants will be assessed
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available in the further tabs (e.g. “Application requirements”). Programme Description The research and training programme focusses on the mathematical and algorithmic foundations of reliable AI along with