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equations, and numerical methods. Advanced programming skills in languages such as Python, C++, MATLAB, or R. Strong academic curiosity and enthusiasm for the chosen research area. Application Process To
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Proven skills in the application of biometry/statistics, ideally with high-throughput phenotyping datasets, including experimental design and longitudinal data analysis. Demonstrated experience in using R
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. Experience in programming languages relevant to technical applications, e.g. Python, Matlab, R and corresponding image-processing software libraries. High quality interpersonal, oral and written communication
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specific methodology and tackle experimental challenges creatively. To be successful you will need: Strong computing skills in R software and demonstrated experience in quantitative analyses, and model
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, and insight generation for high-dimensional datasets. Those include tidyomics (Hutchison et al., 2024), HPCell, and more. The development will be done primarily in R and possibly in Python. Our
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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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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