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(i.e. python, R) and toolchain (i.e. PyTorch, Tensorflow, Scikit learn, CARET) Experience translating research code into production code is a strongly desired bonus An understanding of how systems
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management and programming languages such as R and Python. Level B Essential Criteria: A PhD in entomology or a related discipline, with at least 3 years of postdoctoral experience. A strong track record in
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Office skills. Skills in data manipulation tools and/or programming languages such as Cognos, Power BI/Power Query, PySpark, SQL and R Desirable: Experience with data integration and ETL tools such as
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analytical chemistry, particularly GC-MS analysis of trace volatiles Good communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is
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/statistics, ideally with high-throughput phenotyping datasets, including experimental design and longitudinal data analysis. Demonstrated experience in using R software packages to analyse longitudinal data
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statistical / data science languages such as R or Python Experience working with geographic information systems Desirable Characteristics: Experience with building spatially explicit models, including
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identified above may also submit their CV and expression of interest to identify the R&D activities they wish to carry out. Expected research outcomes for students may include: Impacting and reshaping future