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statistical methodology, including genomic prediction, crop simulation and machine learning, to improve prediction of crop yield and related traits. Supervision and Researcher Development: Assist with mentoring
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experience, in laboratory-based or hardware-based testing, validation or prototyping of simulation, robotic, AI or battery-related systems. Ability to work effectively both independently and as part of a
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, or the capacity to develop experience, in laboratory-based or hardware-based testing, validation or prototyping of simulation, robotic, AI or battery-related systems. Ability to work effectively both independently
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Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time fixed-term position through to end of March 2029 Base salary will
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existing program, with opportunities across areas including rare b-hadron decays, doubly heavy hadron production, charm CP violation and forbidden hyperon decays. You will also have the opportunity
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) Application Deadline 17 Oct 2026 - 00:00 (UTC) Country Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the
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. Explore different approaches to building data-driven models to simulate farming systems to generate holistic indicators of systems performance, moving beyond simple indicators of productivity. Apply models
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for electrochemical and photoelectrochemical energy conversion, including electrochemical workstations, a solar simulator, an Incident Photon-to-Current Efficiency (IPCE) measurement system and a customised roll-to
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for electrochemical and photoelectrochemical energy conversion, including electrochemical workstations, a solar simulator, an Incident Photon-to-Current Efficiency (IPCE) measurement system and a customised roll-to
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focused on the development and application of recycled and waste-derived materials for advanced engineering systems. The role will emphasise computational modelling, simulation, and data-driven approaches