169 machine-learning "https:" "https:" "https:" "The University of Edinburgh" Fellowship research jobs in Australia
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. https://www.rmit.edu.au/about/schools-colleges/stem-college To Apply Please submit your CV and covering letter (indicating whether you are applying for the Research Assistant or Research Fellow position
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radiation therapy treatments. At least one position will be offered to a researcher that has experience in deep learning and AI development and a willingness to apply these approaches in radiation therapy
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.) during medical imaging and radiation therapy treatments. At least one position will be offered to a researcher that has experience in deep learning and AI development and a willingness to apply these
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experience in 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
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wisdom to make the world a better place. Harnessing technology, we thrive as a distributed yet connected community, welcoming and engaging with people across Australia and the world. Learn more about the
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manufacturing principles. Experience with machine learning methods and integration into hybrid modelling systems Demonstrated ability to clearly communicate research concepts and results in high-quality journal
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 2 months ago
ideal candidate will have completed a PhD on the Philippines in the fields of International Relations and/or Political Science, and be able to teach in areas relevant to Peace and Conflict Studies in
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and the highest in Australia. For further information on our school, go to - https://www.unsw.edu.au/engineering/our-schools/mechanical-and-manufacturing-engineering Skills & Experience PhD in
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in human induced pluripotent stem cells (hiPSCs)-derived skin organoids (https://pubmed.ncbi.nlm.nih.gov/38044307/ ), and the generation of vascularized skin organoids (https
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join a high-impact research team advancing the theory and application of learning, control and optimisation in multiagent and complex networked systems. This is an exciting opportunity for an early