2,534 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" uni jobs in Australia
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competency-based learning in line with national training package requirements. Key responsibilities include: Delivering training across face-to-face, online, and blended modes Designing and assessing
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workforce that reflects the diversity of the community in which we live. For more information, please visit our Diversity and Inclusion page - https://staff.curtin.edu.au/discover-curtin/diversity-equity-and
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to quality assurance. High level of proficiency in computer software packages with effectiveness, accuracy and attention to detail and the ability to learn new technical skills. Please Note: Appointment to
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seasons make it an ideal place to live and thrive. To find out more, visit https://www.visitarmidale.com.au/experience . Information about relocation assistance. UNE: A Diverse and Inclusive Workplace
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Experience To be considered for this position, you will have Degree with subsequent relevant experience to consolidate the theories and principles learned, or extensive experience, leading to either
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relating to finance, procurement, learning and teaching activities, and research support. What we’re looking for: Demonstrated commitment to high-quality customer service, with the ability to anticipate
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leading solar-electric vehicle development team. Our team was founded in 1996 by a small group of electrical academics and PhD students with the vision to build a car to compete in the World Solar Challenge
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 16 hours ago
times Experience in managing diverse and shifting workloads The capacity to work under pressure and manage competing demands with composure Well‑developed IT capability and the ability to quickly learn
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with emerging international recognition. You will play a key role in teaching and learning, lifting student outcomes and experience through program innovation and quality assessment. As a senior academic
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career trajectories. The goal is to design better incentives for scientists to produce their best work. Our research group studies how groups of agents can learn to cooperate. Most of our research focuses