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will be in the range $85,372.89 - $113,659.72 + 17% super (Academic Level A) Based at our St Lucia Campus About This Opportunity Join a visionary and collaborative team helping to shape Australia’s net
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complexity theory, quantum algorithms, optimisation and quantum sensing. Your work will contribute to the development of new computational frameworks and approaches spanning sensing optimisation, adaptive
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science LCN and UCL Physics and Astronomy are at the forefront of research into complexity in materials science, particularly in the area of emergent properties in strongly correlated systems. Particularly
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advancing healthcare cybersecurity. The PATCH Research Fellow helps build Whole-Hospital Simulations, realistic testbeds that emulate complex healthcare environments, and Vulnerability Mitigation Platforms
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multidisciplinary research teams developing network of academic, industry and professional stakeholders The School of Geosciences at the University of Sydney is a dynamic and collegial multi-disciplinary community
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of the interactions between building stocks, heat and cooling demand, and electricity distribution networks. They will develop new computational approaches, contribute to the expansion of existing modelling tools, and
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Simons Collaboration on the Physics of Learning and Neural Computation | California City, California | United States | 2 months ago
analysis from physics, mathematics, computer science, neuroscience, and statistics to understand how large neural networks learn, compute, scale, reason, and imagine. By studying AI as a complex physical
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of Post-doctoral Researcher. We pursue research and develop disruptive technology in satellite network, wireless systems, sensing, and AI. We build working systems, engage with industry (e.g., Microsoft
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externally funded research projects. Strong teaching and supervisory skills, with enthusiasm for mentoring students and early-career researchers. Excellent communication, networking, and partnership-building
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Data Analytics, including but not limited to: “Data Analytics for Social Research”, “Applied Analytical Statistics for Social Scientists”, “Machine Learning with Social Data” and “Social Networks