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at least one relevant language or environment, such as Python, MATLAB, Julia or similar. Strong written and verbal communication skills, including the ability to publish research outcomes and engage
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experience Demonstrated expertise and experience in process simulation software (ASPEN/DWSIM, Excel VBA Programming, Excel and Python coding Demonstrated experience in engineering economic analysis including
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in Python, C++ or similar - particularly with an emphasis on high-performance computing Experience in crystal structure prediction or crystal growth prediction Experience in collaboration with project
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experience applying these methods to real-world systems and technologies. Familiarity with software tools such as SimaPro, OpenLCA, Aspen Plus, MATLAB/Python, and data visualisation platforms. Demonstrated
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of sensing technology solutions Knowledge of feature engineering and the development of new spectral indices Proficiency in data analysis and visualisation tools using software environments like Python, Google
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systems (such as RedCAP), Endnote files, and databases Demonstrated experience with data analysis, visualization, and building machine learning models in programming language such as Python or/and R
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variant analysis will be highly regarded (e.g. bulked segregant analysis, mapping population design, whole genome sequencing, long-read sequencing) Experience with R, Python, or equivalent programming
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experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python
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computational biology Expertise with R, Python, or equivalent programming languages is essential. Passion for making biological discoveries relevant to crop improvement. Strong analytical skills, creativity, and
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help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https