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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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that are critical of generative artificial intelligence will not be disadvantaged in the selection process, but must still meet all other requirements. The below themes are offered as inspiration for research
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criteria Full time enrolment Australian citizen Australian permanent resident New Zealand citizen New Zealand permanent resident Fee-paying international students Application process Future student, please
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throughout the recruitment process. Enjoy an outstanding career environment We offer a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant
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with qualitative methods Successful recipients must not be in receipt of any other scholarship Application process Please apply via the EOI form . The EOI form supports the submission of the CV, academic
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the relevant allied health professional regulatory authority Successful recipients must also not be in receipt of any other scholarship. Application process Interested clinicians, please contact us via the EOI
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, the University of Melbourne, Australian National University, Ernst & Young, the World Bank and government health departments. Enquiries For questions related to the application procedure and eligibility, please
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& Young, the World Bank and government health departments. Enquiries For questions related to this PhD opportunity, please email Nicole.black@monash.edu . For questions related to the application procedure
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& Young, the World Bank and government health departments. Enquiries For questions related to the application procedure, please contact buseco-research.degrees@f.e.monash.edu . Supporting a diverse
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reimagined economic outcomes must be measured in novel ways Focusing on three critical sectors – energy, transport and water – and three key processes – standardising climate information, underwriting climate