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cookie and refresh page to watch video, or click here to open video) PhD position in Quantum Technology There is a vacancy for a PhD Research Fellow in Quantum Technology at the Department of Informatics
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the Environmental Economics team. About the opportunity Research Fellow Biodiversity and Climate Change Adaptation will conduct research to support key deliverables for a National Environmental Science Program (NESP
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About the Role Working as part of a multi-disciplinary team, you will provide health psychology support to the delivery of research activity for the NIHR-funded Programme Grant for Applied Research
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their best work. The School of Psychology at UNSW is the leading Psychology school in Australia. It is located in the Faculty of Science and is recognised nationally and internationally for its excellence in
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in Quantum Technology at the Department of Informatics . The position is for a fixed-term period of 3 years with the possibility of a 4th year with career-promoting work (e.g. teaching at
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 2 months ago
of the key disciplines necessary to help 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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advanced computational methods can be used to investigate the evolution of magnetic fields in neutron stars? Would you like to feel part of a strong supportive group at the University of Leeds? We
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the School of Computer Science) will contribute his expertise in artificial intelligence, while Prof. Lorrie Cranor (Director and Bosch Distinguished Professor in Security and Privacy Technologies of the CyLab
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Ref NumberB02-08879Professional ExpertiseClinicalDepartmentSchool of Life & Medical Sciences (B02)LocationLondonWorking PatternFull timeSalarySee advert textContract TypeFixed-termWorking TypeOn
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing