9 post-doc-machine-learning PhD positions at Swinburne University of Technology in Australia
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to peer-reviewed academic publications Qualifications Completed undergraduate degree in physics, computer science, machine learning, computational modelling, or similar. About Swinburne University
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are seeking a highly motivated and enthusiastic candidate with a strong interest in computer vision, AI, and robotics. The ideal candidate will have solid programming skills, particularly in Python, and be well
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-100) or equivalent. Meet the entry requirements for the relevant Higher Degree by Research at Swinburne University of Technology. The scholarship is contingent upon the candidate enrolling in the Doctor
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the candidate enrolling in the Doctor of Philosophy (Health Sciences), program. The capacity to work both independently and as part of a team in a collaborative manner. Problem solving and organisational
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. • Proficient computer skills, including competence in the use of MS Office and other software packages, especially word processing, database and spreadsheet skills. About Swinburne University of Technology
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) scholarship. Courses eligible Doctor of Philosophy (PhD), Doctor of Psychology, Master by Research Eligibility / selection criteria Australian citizen or Australian permanent resident or New Zealand citizen
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Chilean students who wish to undertake a postgraduate degree in Australia are eligible to apply for a scholarship under the Chilean Bicentennial Fund. Courses eligible Doctor of Philosophy (PhD
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For prospective international research students. Courses eligible Doctor of Philosophy (PhD), Doctor of Psychology, Master by Research Eligibility / selection criteria Tuition Fee Scholarships
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and Prof Kath Hulse (Swinburne). This PhD project will analyse the role and mechanisms of social communication, learning and social networks in fostering sustainable and energy efficient household