6 parallel-computing-numerical-methods Fellowship positions at University of South Australia in Australia
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Skills and Experience A PhD in a relevant discipline (e.g., artificial intelligence, data science, statistics, computer science, learning engineering, learning sciences, learning analytics, or educational
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/or testing micro-/nano-scale devices and systems, using advanced manufacturing methods Demonstrated skills using design software to create engineering drawings and models Evidence of high-quality
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(FCoE). The position supports the Forest Health and Biosecurity Program through the project GT Forest, providing expert level advice to the region on forest health and biosecurity, and shapes
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Skills and Experience Bachelor's degree in a relevant scientific field Experience in cancer immunology laboratory methods, including flow cytometry and cell culture Knowledge of immunology and cancer
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Maintain detailed records of experiments and findings Prepare and communicate research methods for reports and evaluations Assist in funding proposals, including NHMRC and ARC applications Essential Skills
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research focus in a STEM related area such as mathematics, statistics, computer/data science, combined with an interest in AI and machine learning. You will ideally have experience in coding language such as