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candidate must enrol into a Doctor of Philosophy (PhD) program (full-time study). Eligibility criteria The successful candidate must meet the minimum academic entry requirement for admission into the Doctor
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number awarded 3 Eligible courses The successful candidate must enrol into a Doctor of Philosophy (PhD) program (full-time study). Eligibility criteria The successful candidate must meet the minimum
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, Materials Science, or Manufacturing Engineering. Applicants should also ensure they meet the eligibility criteria for entry into a Swinburne PhD program. Full details can be found here . Additionally
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and hands-on experience with AI and computer vision. Solid programming skills in Python, especially with PyTorch. Practical experience with deep learning projects, including working with attention
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to three years of study (with the potential for extension) Scholarship Details Maximum number awarded 1 Eligible courses The successful candidate must enrol into a Doctor of Philosophy (PhD) program
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principles. The candidates must also be able to quickly grasp emerging trends in the relevant discipline. The candidate should be willing to work using different programming languages/frameworks such as Python
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the Program in the year of the offer. Enrol as a full-time PhD student. Be prepared to be located at the project location(s) that the host university has approved and, if required, comply with the host
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Training Program (RTP) Stipend www.monash.edu/study/fees-scholarships/scholarships/find-a-scholarship/research-training-program-scholarship#scholarship-details Be inspired, every day Drive your own learning
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qualitative skills are desired, although training will also be provided. Must be eligible to enrol in PhD programs at Curtin. A keen interest in mental health and wellbeing is required. Experience as a first
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management skills. Candidates with laboratory skills and imaging are desired for this project. Must be eligible to enrol in PhD programs at Curtin. Application process Please send your CV, academic transcripts