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experiments. Programming skills in R or another language for data analysis and strong knowledge of statistical approaches in plant or biological sciences. Track record of high-quality research outputs (peer
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development for data or model output analysis. A clear desire and capacity for developing machine learning approaches, preferably with experience in its application to ice sheet problems. Salary details
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analysis of large-scale datasets using ML toolkits/libraries or in development of practical AI applications. Demonstrated written and verbal communication skills, including ability to conduct research
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analysis of large-scale datasets using ML toolkits/libraries or in development of practical AI applications. Demonstrated written and verbal communication skills, including ability to conduct research
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outputs (e.g., peer reviewed journal publications, conference presentations, technical reports) in relevant fields. Data Analysis and Interpretation: High-level ability to analyse and interpret experimental