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analysis and data processing. Strong programming skills in R (preferable) and/or Python, and experience or interest in weather prediction or climate models. Knowledge of machine learning, AI techniques, and
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algorithms and deep learning models. Have proficiency in Python in a Linux environment and development experience using Tensorflow or PyTorch. Have strong linear algebra and computer vision knowledge. Have
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program information
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interests and educational background a CV your degree certificate or equivalent your English results, and other documents you wish to be considered (grade transcripts, contact information for your references
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groups, and an awareness of security and ethical issues associated with working with health and sensitive data. A full list of selection criteria is available within the position description. About
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, as One Swinburne. How to apply and further information Please submit your CV and cover letter addressing why you believe you are suitable for this position. For further information about this position
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discipline, demonstrated research experience, and strong academic results. For full information on scholarship eligibility, please click here . For general information on applications and commencing a research
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Computer Systems Engineering ● Materials Science and Engineering ● Mechanical and Aerospace Engineering For further information, please follow the link for each Graduate Research Degree ● 3291 - Doctor
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and Computer Systems Engineering ● Materials Science and Engineering ● Mechanical and Aerospace Engineering To be eligible to apply for domestic postgraduate research scholarships an applicant must be
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and inadequately captured in service and system-level data. This PhD project will examine the integration of care for co-occurring mental illness and addiction within Victorian mental health services