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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month 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 | about 2 months 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 | about 2 months 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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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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(e.g., LabArchives, BioRender). Desirable Demonstrated experience in fermentation control, optimisation and scale-up. Experience in the use of electronic lab books Experience in coding languages (Python
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. Applied experience in the analysis of genomic data (bioinformatics), including reference based and reference-free pipelines, and relevant coding languages (e.g. bash, R, Python), and a sound understanding
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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