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at the University of Sydney is currently seeking a Postdoctoral Research Associate (Physics) to work within the Dynamics and Neural Systems Group, led by A/Prof Ben Fulcher, on developing novel methods to analyze non
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-throughput hybrid DFT engine for finite-gap systems containing thousands of atoms using the Quantum ESPRESSO (QE) package. We expect this position to have the opportunity to work on the high-performance
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English as well as advanced knowledge of quantitative and qualitative research methods. Those with research expertise in Digital Policy and Governance, Food Value Chains and Policy Instruments
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., Multiphysics finite element analysis, Matlab, Labview etc.) cleanroom experience, and characterization of electronic devices are required. Further, knowledge of system level integration and haptics feedback in
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to join our team. Our lab focuses on developing and applying innovative statistical machine learning methods, single-cell multi-omics, and systems immunology approaches to investigate immune-mediated
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the research group, as appropriate, to identify areas for research, develop new research methods and extend the research portfolio. To deal with problems that may affect the achievement of research objectives
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on understanding the spread and control of human infectious diseases using modelling and pathogen genomics. This is a short-term opportunity to apply machine learning methods to two key projects. First, you will
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opportunity to contribute to cutting-edge research in the development of clinical trials, self-management science, acute/chronic disease management and pain mechanisms and methods under the mentorship
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, the associate will support mixed methods data collection and analysis (surveys, interviews, and community-based systems dynamics modeling), coordinate community engagement activities, manage relationships with
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approaches into urban climate resiliency initiatives in the US and globally. Candidates should demonstrate interest in method and protocol development supporting translational research on climate-focused