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should ideally have experience in: Essential Deep learning and machine learning Computer vision Python programming PyTorch or TensorFlow Strong mathematical and analytical skills Desirable Video
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: Details of the proposed travel, including purpose of travel, itinerary, and cost estimates Letter of endorsement from their supervisor confirming the benefit of the proposed travel Curriculum vitae
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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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supported by an ARC Industry Fellowship, in partnership with Bush Heritage Australia. The student will work closely with ecologists and computer scientists at QUT and conservation managers at Bush Heritage
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to suit the interests of the candidate and project objectives. The themes will address knowledge gaps and improve quantitative estimations of: 1. How much artificial aquatic ecosystems contribute
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to $5000 (total) for computer / software / conference attendance to present PhD results. Scholarship Details Maximum number awarded 1 Eligible courses Higher degree by Research (PhD) – in Health Sciences
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● Electrical and Computer Systems Engineering ● Materials Science and Engineering ● Mechanical and Aerospace Engineering For further information, please follow the link for each Graduate Research Degree ● 3291
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and cost outcomes, which include but are not limited to Statistical (risk) modelling, Model calibration and uncertainty estimation, Causal learning for explainable machine learning, Transparent
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course Want to know more about the courses we offer? Search for a specific course or browse by study area. Find out more (Find a course) Library Need to borrow textbooks or book a computer? We have you