3,355 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "U.S" positions in Australia
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ability to work under pressure Understanding of workplace health and safety issues Basic computer skills Team player with high standards of personal grooming and hygiene Customer-focused with a commitment
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-day administrative processes, support teaching and learning activities, resolve issues as they arise, and work collaboratively with colleagues across the School. Your contribution will help maintain a
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people as appropriate. Assist in the coordination of the delivery of the Clinical Learning Program for the School of Nursing and Midwifery. Assist the Director of Clinical Studies, academic staff and
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time management, attention to detail, research software, computer literacy, communication, customer service, and teamwork. Sponsorship / work rights for Australia Work Rights: you must have unrestricted
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experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python
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offering solutions to complex problems and creating new possibilities. At La Trobe, our students gain essential skills in programming, data analysis, and machine learning, equipping them to shape the future
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literacy with excellent skills in Microsoft Office applications. Ability to plan, organise and co-ordinate projects and tasks. Excellent numeracy skills with the ability to understand and communicate
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Child Health at UNSW UNSW Medicine & Health is a national leader in learning, teaching and research, with close affiliations to several of Australia’s finest hospitals, research institutes and health
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research in areas such as machine learning, clinical decision-support, medical imaging, and data-driven health services innovation. The position is expected to develop an independent research profile
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requirements for completion of a degree leading to professional registration. They will exercise professional judgement on routine clinical matters to teach and supervise undergraduate and postgraduate students