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testing cyber-physical systems (CPS), evidenced by involvement in several industry projects. Technical Experience: Exposure to Go, Python, Java or equivalent. Experience with microservices architecture and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 24 days ago
regarded, as will proficiency in Python, Julia, or RStats, and experience in industry engagement. To excel in this role, you will be a self-starter who has demonstrated experience in project management and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 29 days ago
regarded, as will proficiency in Python, Julia, or RStats, and experience in industry engagement. To excel in this role, you will be a self-starter who has demonstrated experience in project management and
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 27 days ago
industrial decarbonisation and/or East Asia will be highly regarded, as will proficiency in Python, Julia, or RStats, and experience in industry engagement. To excel in this role, you will be a self-starter
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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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networks or deep learning approaches is highly relevant to this role.) Strong programming skills in R, Python, or similar, with the ability to write reproducible, well-documented code. Familiarity with high
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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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. Skills and Experience: A PhD completed or near completion in Economics or a related field. Strong coding skills (e.g., R, Python, Stata). Experience in designing and conducting experiments. Excellent
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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