7 computer-vision-and-machine-learning Fellowship positions at Queensland University of Technology in Australia
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the instructions for applicants on the ACSPRI Fellowship Program website. About the scholarship PhD candidates at ACSPRI Member Institutions are invited to apply for the 2024-25 ACSPRI Fellowship Program. Valued
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Predication and discovery of new materials for next generation solar cells driven by machine learning. Demonstrated academic research experience by publications in high quality research journals. At Level B
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functionalisation, fabrication and characterisation of carbon materials for application in solar cells Predication and discovery of new materials for next generation solar cells driven by machine learning
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digital literacy, including the ability to rapidly acquire working knowledge of data analysis software packages. Demonstrated experience in qualitative and/or quantitative research techniques. Demonstrated
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digital literacy, including the ability to rapidly acquire working knowledge of data analysis software packages. Demonstrated experience in qualitative and/or quantitative research techniques. Demonstrated
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digital literacy, including the ability to rapidly acquire working knowledge of data analysis software packages. Demonstrated experience in qualitative and/or quantitative research techniques. Demonstrated
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Cytometry and liquid handling robots for single cell genomic and culturing work, and maintains custom built anaerobic culture and quarantine facilities. CMR houses its own high-performance computing resources