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                PhD Scholarship - Integrated Thermochemical Conversion of Lignocellulosic Biomass for High-Value Chemicals and Fuel-Grade Bio-Slurry Job No.: 685952 Location: Clayton campus Faculty / Portfolio 
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                support is available through research and teaching assistance work. Current opportunities As a candidate in the CHE Integrated PhD Program , you will receive rigorous training in advanced health economics 
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                Monash University’s generative artificial intelligence research strategy has several advantages. First, the successful candidate will be integrated into an interdisciplinary, cross-faculty research culture 
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                conversation within the transport and logistics industry, and integrating new focus areas aligned with emerging health and safety challenges. The expanded work will be formally branded as the NTARC Driving 
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                Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modellingat Monash University has multiple PhD Scholarships available to work on some exciting projects. Conduct cutting-edge research at the frontiers of Whole Cell Modelling! Projects include: Integrative Modelling 
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                this PhD as part of a larger project has several advantages. First, the successful candidate will be integrated into an already successful research agenda that has been funded by the Australian Research 
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                integrated into an already successful research agenda that has been funded by the Australian Research Council. Second, the candidate will benefit from expert supervision from research leaders in history, and 
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                financial barriers to achieving theoretically optimal city sizes using qualitative methods, including stakeholder interviews and policy analysis. Integrating Theory into Dynamic Models Embed the sustainable 
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                uptake and adherence, and the modelling of future health inequalities by building tools for distributional cost effectiveness analysis. Integrated PhD Program As a candidate in the Centre for Health 
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                (AI) technologies have advanced significantly, current software engineering methodologies remain insufficiently equipped to integrate responsible, reliable, and scalable AI-driven solutions into systems