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of agricultural innovation, exploring how advanced weather forecasting, crop modelling, and digital decision tools can be harnessed to support smarter, more agile on-farm decisions. It offers a unique opportunity
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/Computer Engineering, Computer Science, Applied Maths or related. Strong skills in AI techniques/ML/optimisation (Python/Matlab); familiarity with probabilistic modelling, time-series or control/power
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We have several PhD and Research Assistant (RA) opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and Generative AI. If you have
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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possible shift (temporal and spatial) in rainfall patterns across the MLR (climate change/water) Explore various River Murray hydrological, hydraulic modelling questions (River Murray/water) Review economic
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, advanced soil analysis, and modelling. The research involves field work in Western Australia’s unique ecosystems, applying cutting-edge imaging, spectroscopy and molecular techniques, and leveraging machine
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I specialise in the numerical modelling of high-energy particle collisions , such as those occurring at the Large Hadron Collider. Accordingly, most projects I offer straddle the intersection
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translate complex mission briefs and regulations into rigorous, traceable, regulator-ready requirements. The candidate will join an interdisciplinary community at Monash University spanning computing, systems
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PhD Scholarship This project investigates how PKCα inhibition reprograms DMG cell identity and immune visibility using iPSC-derived neural stem models and mouse models, to identify how
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-word error rate decoding without the burden of high decoding complexity Why join us? Work alongside world-leading researchers in error correction codes with a strong track record of successful PhD