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opportunity Experience in machine learning and deep learning Proficiency in one or more high-level programming languages such as Python, Java, or R. Strong commitment to interdisciplinary research and a track
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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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communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is desirable Knowledge and interest in wine is desirable Applying: Expression of
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qualification in the biological sciences) or progressing towards a higher qualification. Experience in High Performance Computing environments and fluency in programming languages such as R, Python, Perl, etc
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numerical analysis or modelling of (palaeo)environmental data using R/python/Matlab or similar platforms. Experience with sediment analysis, which may include palaeoecological techniques, sedimentology
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experimental design and longitudinal data. A publication record that includes statistical methodology papers. Demonstrated experience in using R software packages to analyse longitudinal data and generate high
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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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skills in R and Python. Demonstrated experience with the handling and maintenance of crops in field-based and controlled environments, and genetic transformation of cereal crops. A strong track record of
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such as STATA or R. Demonstrated experience in writing research proposals and commissioned research tenders. Demonstrated ability to work independently to meet competing deadlines. Ability to undertake a
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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