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the conversion of experimental excel-based soft sensors to industry-ready programmed solutions using C++ and python Support research by performing data analysis tasks Liaise with clients regarding delivery of soft
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be contacted prior to the job closing date. We encourage candidates to apply as soon as possible. The University of Queensland reserves the right to close this application process early.
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-intensive systems. Strong programming and system design skills, particularly in C++, C, Java, and Python, with hands-on experience in large-scale data frameworks or database internals. Demonstrated research
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) An interest in AI/ML and multi-omics integration. Solid background in statistical genetics and computational biology; experience with R, Python, or equivalent programming languages is essential. Passion
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experience with coding in Matlab, Python, or R. Strong track record in computational science, image analysis, or mathematical modelling of complex systems. Evidence of publications in reputed refereed journals
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specialized expertise in applications like SAP Business Objects, Power BI, Excel, and programming languages such as Python to collect, interpret, and analyse data. You will also support the development of new
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at The University of Queensland. This full-time, fixed-term position for two years is part of the Queensland Quantum Decarbonisation Alliance (QDA) — a major collaboration between leading Queensland universities and
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will be reviewed as received. Candidates may be interviewed prior to the job closing date. We encourage candidates to apply as soon as possible. The University of Queensland reserves the right to close
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applications, leveraging technologies such as Velocity, VueJS, React, Java, and Python on UQ’s high-performance and cloud computing systems. You’ll collaborate closely with scientists to create user-friendly
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using both R and Python Develop and conduct complex statistical analysis plans for research studies, including the application of statistical analysis techniques such as regression, text mining, topic