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the key focus areas: Emerging track record and recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in
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the key focus areas: Emerging track record and recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in
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the key focus areas: Emerging track record and recognition for quality research outputs in the field of biological mathematics. Demonstrated mathematics and computer programming skills with experience in
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that enhances policy, practice, industry, and community outcomes · work effectively with multidisciplinary teams including clinicians, human factors experts, computer scientists, and AI experts
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting
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diversity and respect for difference. Our postgraduate courses offer professionals opportunities to develop their abilities and advance their careers and our PhD program has launched a thousand research
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. Strong planning, organisational, computer literacy, and interpersonal skills, with the ability to manage competing priorities effectively. Sponsorship / work rights for Australia You must have unrestricted
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of relevant training and experience proven Computer Literacy in (Excel, Clampex/Clampfit, GraphPad Prism) proven research publication in relevant field strong track record of peer-reviewed publications in
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, including coordinating research activities, meetings, presentations, timelines, ethics and governance processes, and multi‑stakeholder communication proficiency in a range of computer applications including
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: Essential criteria A doctorate (or will shortly satisfy the requirements of a PhD). The doctorate must be in a relevant discipline area, such as statistical machine learning, computational and quantitative