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Australia. We are seeking a Postdoctoral Research Fellow specialising in machine learning to join a team of researchers to establish workflows to drive strain design and bioreactor operation optimisation
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on experience) +17% super + annual leave loading Location: Kensington campus, NSW Why this role matters: The Learning Resources Coordinator will play a key role in producing learning resources and providing
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students and faculty conduct world leading research in many areas of computing, including in: Artificial Intelligence Search and Recommendation Data Science, Machine Learning and Big Data Analysis
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and support clinical learning and teaching across the School of Clinical Medicine. The role reports to Head of Discipline and has no direct reports. Key skills required: A medical degree, preferably
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statistical modelling such as machine learning methods and demonstrated experience in the handling and analysis of big data would be highly desired. The successful applicant will also demonstrate personal
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scientists, a bioinformatician and a machine learning specialist to construct custom workflows that allow the high-throughput processing and analysis of data from a Laboratory Information Management System
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Australian National University | Canberra, Australian Capital Territory | Australia | about 9 hours ago
for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades
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days of leave over the Christmas Period Access to lifelong learning and career development Progressive HR practices Discounts and entitlements Affordable on-campus parking About the successful applicant
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cardiovascular disease. As an innovative clinical trialist, she has developed advanced trial designs and integrated clinical care with research to promote learning health system principles. Her leadership extends
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written communication skills, including the ability to liaise effectively with a diverse range of senior stakeholders. Demonstrated competence in the use of computer software and general administrative