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optimisation models (e.g. using MiniZinc) and solving methods to demonstrate the transformative potential of optimisation technology in this application. Collaboration will be key, as you’ll join the DSAI’s
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, collaborative and adaptable researcher with a foundation in qualitative and quantitative research methods. Your cultural sensitivity and strong communication skills enable you to approach research with respect
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for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer
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projects involving multi-electrode array recordings in behaving animals, using techniques including electrophysiology, psychophysics, computational modelling and advanced quantitative analysis. This position
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of innovative computational procedures and methodologies, addressing a national skills shortage and enabling timely progress on a high-impact research initiative in modern econometric modelling. The role provides
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opportunities. Access to an Employee Assistance Program. Position Requirements Completion of a PHD degree in Electrical Engineering or a closely related field. Demonstrated ability to engage in research areas
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gyms. Numerous opportunities for professional development including leadership programs and workshops, and our study assistance scheme. Commitment to our Indigenous Australian staff through initiatives
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method to submit your application due to accessibility needs or personal circumstances, please contact talent@uq.edu.au . Other Information UQ is committed to a fair, equitable and inclusive selection
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one peer-reviewed publication on average per day. The Centre for Healthcare Resilience and Implementation Science (CHRIS) , within AIHI, has a multi-stream program of research which focuses
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recording of results using appropriate research methods. Conduct research (as per the norms of the discipline) and/or enable research teams to create scholarly output that is recognised by peers. Undertake