338 phd-studenship-in-computer-vision-and-machine-learning Fellowship positions in Australia
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optimisation or computational problem-solving. Experience with optimisation tools such as MiniZinc or similar platforms. Proven ability to work independently and collaboratively on research projects
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are delivered in a vibrant and supportive learning environment to equip students for a rewarding career in healthcare. MNM is dedicated to enhancing our capacity to lead innovative nursing curricula and
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. Together with our commitment to academic freedom , you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities. Learn more
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
at the ANU, and to contribute to its teaching program. The successful candidate will have a Ph.D. in Philosophy with demonstrated expertise in moral and/or political philosophy with a proven record of
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to the world's greatest challenges and helping us design, build, regulate and secure the future. CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new
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, world-class teaching spaces, and international collaboration opportunities. Learn more about Monash . Join the pursuit of our purpose to build a better future for ourselves and our communities - #ChangeIt
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. Learn more about Monash . Join the pursuit of our purpose to build a better future for ourselves and our communities - #ChangeIt with us. Monash supports flexible and hybrid working arrangements. We have
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Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
political philosophy and will be expected to contribute to research in moral philosophy in the School of Philosophy at the ANU, and to contribute to its teaching program. The successful candidate will have a
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the future. CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new approach to systems design and build new national capabilities in data-driven
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. This role is based at our Alfred Hospital Campus, embedded in a thriving network of public health and research excellence. Learn more: https://www.monash.edu/medicine/sphpm/divisions/health-systems