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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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-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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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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based computing environments, and programming or scripting skills (ie. PHP, Drupal, shell, python) and/or database management The successful candidate may be required to complete a number of pre
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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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) 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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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
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materials. Evidence of publications in high-quality peer-reviewed journals and presentations at major conferences. Proficiency in data analysis and relevant tools (e.g. Python, MATLAB, WSxM, Gwyddion). Strong
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healthcare datasets, such as MIMIC, EHRs, or other health information systems. Proficiency in SQL, Python, or other programming languages used for data manipulation and ETL processes. Experience with cloud