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opportunity to make a meaningful impact in the area of end-of-life law while collaborating with leading researchers and key stakeholders. Eligibility To apply for this scholarship, you must meet the entry
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development. Expertise in Python programming and data analysis. Experience developing Machine Learning models. TensorFlow or PyTorch is desirable. How to apply To apply, please ensure you have digital copies
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therapeutic targets. The scholarship provides opportunities to apply statistical genetics approaches to dementia research within a collaborative and supportive research environment. Student type Future Students
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children. Mechanistic modelling of disease transmission involves the use of computer code to represent the epidemic dynamics of infectious disease spread within the community. This allows modellers
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to their culture and pay our respects to their Elders past and present. View our vision towards reconciliation . Role highlights Apply your expertise in power systems to enhance Australia’s evolving energy networks
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preferably quantum machine learning. Strong interest in sustainability, education, and youth development. Key Responsibilities: Apply reinforcement learning to optimise resource allocation in hydroponic
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evidence underlying C2 Agility is based mainly on descriptive studies that use cross-sectional or low-resolution (i.e., broad timescale) snapshots of key inputs, processes, and outputs obtained within static
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-style interventions, and preventative medication. Analysis will utilise best practice in health inequalities measurement, modern econometric techniques, behavioural experiments, and modelling
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polymer chemistry or tissue engineering. Strong skill set for data analysis and interpretation, coupled with excellent written and verbal communication abilities. Ability to work effectively in a
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for policy, practice and advocacy. The mixed-methods project will use a combination of participatory approaches including but not limited to GIS mapping, stakeholder analysis, network and systems mapping