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Overview A PhD scholarship in the field of machine condition monitoring, with focus on developing digital-twin based framework and physics-informed methodologies, is available at the Centre
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(remote) learning in all degrees except online degrees and distance mode degrees. Selection process Academic merit in the most recently completed qualification and recognized by UTS for entry
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(remote) learning in all degrees except online degrees and distance mode degrees. Selection process Academic merit in the qualification used as the basis of admission for entry into the selected UTS
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be studying full-time. Selection process The decision panel will consider the following criteria: Highly motivated and capable of independent work Team player with an ability to work with a diverse
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of attainment. Applicants must be eligible for enrolment as aPhD student at UTS. Applicants must be studying full-time. Selection process The selection panel will consider the following criteria
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citizen, or Bridging or Humanitarian visas – to be considered. Applicants must be eligible for enrolment as a master's by research student at UTS. Applicants must be studying full-time. Selection process
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having an equivalent level of attainment. Applicants must be eligible for enrolment as aPhD student at UTS. Applicants must be studying full-time. Selection process The decision panel will examine the
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to attend an interview (online or in person). Selection process As demonstrated in the Scholarship application and interview process: Motivation and commitment to succeed in their UTS degree program
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mode degrees. Selection process MBA (C04018) applicants only: Academic merit in the most recently completed tertiary qualification recognised by UTS or the GMAT exam. Applicants for all other coursework
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Carer responsibilities Refugee Status Indigenous Australian Medical Disadvantage Selection process Eligible candidates will be presented to a Scholarships Committee, which will undertake the selection