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electronic structure methods, with a particular focus on strongly correlated electron systems. Proficient scientific programming skills, including experience with relevant programming languages
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Public Health At the College of Medicine and Public Health, we deliver clinical, population and lab-based research, integrated teaching programs and high-quality clinical services. Our footprint reaches
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
operates—has a long-standing reputation for outstanding research expertise and global policy impact, hosting the largest collection of expertise on the Asia Pacific in the English-speaking world. For over 70
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policy impact, hosting the largest collection of expertise on the Asia Pacific in the English-speaking world. For over 70 years, ANU Sinologists have pioneered new fields in China studies and led the world
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proteins from a range of different viruses. The Research Fellow's role is primarily to plan, develop and engage in high quality research projects that are aligned with the University's research focus areas
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technologies for humans. Researchers in MARCS come from many disciplines including cognitive science, developmental psychology, language science, music science, cognitive neuroscience, and biomedical, electrical
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research into the dynamics and prediction of the Western Central Pacific as part of the collaboration between the IMOS FishSOOP programme (run through UNSW) and the Pacific Community. The position will use
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using programming languages such as Python or R. Communication and Organisational Skills: Excellent problem-solving skills, with the ability to plan, prioritise, and manage multiple tasks efficiently
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peer-reviewed literature An interest in global change ecology, macroecology, biogeography, or conservation biology Strong computational and analytical programming skills A good knowledge of advanced
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Learning-related field. Programming experience in Matlab, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstratable knowledge in deep learning, transformer