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for light, water, and nutrients. Integrate advanced sensors (e.g., spectral, LiDAR) and simulation tools to guide robotic actions for yield optimization and enhanced biodiversity. Apart from the topics above
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passionate about sustainability, clean energy, and water treatment technologies?Are you skilled in machine learning, process modelling, or chemical engineering simulations?Are you excited by the idea
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combination of multi-wavelength observational data with sophisticated simulations. I am a member of various collaborations, including Australia's OzGrav Centre of Excellence for Gravitational-wave Discovery
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to increase synergy and impact to the region and nation. The positions will concentrate on computational simulations and AI-driven tools, including materials discovery, design, property prediction, process
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, device modelling/simulation aspects of new tunnelling devices. By using dedicated electrical dc and RF measurement equipment within our measurement & test centre, you will develop and carefully analyse
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-efficiency converters based on SiC/GaN wide-bandgap devices and resonant topologies to achieve > 98% efficiency. You will design, simulate, and experimentally validate DC-DC and DC-AC converter prototypes
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, damp, ventilations). We will use these simulations to propose real-life measures to improve living and working conditions. Such measures might be recommendations on how to design or retrofit indoor
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or simulation skills are expected. Industrial experience is desired but not mandatory. What we can offer you The opportunity to develop your career at a world-leading institution The opportunity to engage with
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. Simulation-to-real-world transfer, where NMS model control policies acquired via RL are flashed on a physical robot to operate in the real world. Your tasks will be: Your core tasks will include using
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•Nanofabrication and demonstration of optoelectronic devices (e.g., LEDs, infrared cameras, and gas sensors)•Optical and multiphysics simulations (e.g., Lumerical FDTD, COMSOL)We offer a collaborative and supportive