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component that helps clinicians understand why an AI output is considered safe, unsafe, uncertain, privacy-risky, or potentially manipulated. Required knowledge Essential Strong programming skills in
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component that helps clinicians understand why an AI output is considered safe, unsafe, uncertain, privacy-risky, or potentially manipulated. Required knowledge Essential Strong programming skills in
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relevant to the research, and motivation to undertake an industry-focused PhD. Programming, quantitative analysis, machine learning or environmental modelling experience will be considered favourably
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relevant to the research, and motivation to undertake an industry-focused PhD. Programming, quantitative analysis, machine learning or environmental modelling experience will be considered favourably
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Boltzmann method microfluidic fabrication and experiments 3D printing machine learning. Demonstrated programming skills (Matlab, C++, or Python). Desired Demonstrated ability to work independently and
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profilers. Required knowledge Required Knowledge Essential Strong programming skills in Python Good understanding of machine learning and deep learning Basic knowledge of natural language processing
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profilers. Required knowledge Required Knowledge Essential Strong programming skills in Python Good understanding of machine learning and deep learning Basic knowledge of natural language processing
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programming, data analysis, and machine learning, equipping them to shape the future of technology. As AI continues to evolve, so will the strong demand for artificial intelligence professionals in the public
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data analysis Working proficiency in at least one modelling/programming environment, or capacity to develop this rapidly Willingness and capability to conduct qualitative fieldwork (stakeholder
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STATA are preferred but professional development can be provided where necessary. The successful candidates will work under the supervision of Professors Maria Inacio ( https://research.sahmri.org.au