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will conduct the lab experiment for RAS system for pollution control in recycled water in aquaculture system. He/she will also use machine learning tools to predict and optimize the RAS system. Job
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. Through research, EID aims to pioneer the development and discovery of new and more effective methods for the detection, treatment, prevention and control of new and emerging pathogens. EID research work
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opportunity to work in at the intersection of statistics and epidemiology, and features an exciting case study involving novel GM and gene drive interventions for control of malaria-transmitting mosquitoes
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machine learning libraries such as PyTorch. Experience with version control systems (e.g., Git) and collaborative software development. Background Investigation Statement: Prior to hiring, the final
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control methodologies) the project will establish a robust framework for coordinating electricity, heat, cooling, and hydrogen flows in distributed energy networks. While the primary focus is on developing
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version control. A current Australian driver’s licence or the ability to obtain one. For full details about this role, and other criteria, please review the Position Description . Not sure if you meet all
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Assistant under the supervision of Prof. Antonio J. Gil, in order to meet the research objectives of an awarded Research Fellowship in the area of control modelling of EAP driven soft robotics. Specifically
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of photonic single protein sensors to observe, control and understand protein behaviour, advancing knowledge at the interface of quantum science and the life sciences. As a Level B Research Fellow, you will
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of sewer network and overflows to support effective management, and develop strategies to control pollutions at sources. The post will include delivering research outputs in the form of weekly reports
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quality control protocols. Beyond identifying a scientifically optimum observational network, you will contribute to shaping an observational strategy that is not only scientifically robust and resilient