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, for that reason you need to fullfill the following requirements: Have good understanding in hydrological and hydraulic processes with relevance for irrigation and drainage Have knowledge in programming in R and
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, statistics, programming (e.g., R or Python), or language technology, scientific writing and analytical ability. Experience with text analysis, machine learning, or linguistic data management will be considered
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datasets in relevant areas such as cardiovascular epidemiology, genetic epidemiology, or cardiac imaging. Expert user of a least one widely used statistical software (e.g. SAS, Stata, R). Proficient in
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to integrate product management and R&D much more to ensure that we focus our energy on properly deciding what to build and why we build it. Digital product management is concerned with exploiting
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analysis. Experience with 5mc/5hmc dot blot assays for analysis of human DNA methylation levels. Expertise in Bash, Python, and R programming. Experience in phasing and resolving X-inactivation genomic data
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English, including a track record of academic writing Relevant experience with data analysis and programming (e.g. python or R) and empirical data analysis (including statistics) Strong motivation and
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, e.g., time-series analysis, land use/land cover classification, machine learning methods Experience analysing and visualizing large remote sensing datasets in modern programming language (e.g. R, Python
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, spectroscopic techniques (vibrational and X-ray spectroscopy), inorganic synthesis, and advanced data analysis (MATLAB, R or Python). Experience in thermodynamics and/or molecular modeling (e.g., molecular
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statistical analysis using STATA or R. The evaluation will take personal qualities, such as willingness to collaborate, academic independence,and communication skills, into consideration. Terms and conditions
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, and scripting in R Practical experience with laboratory animal experiments and/or with large-scale studies of animals in the field Assessment criteria and other qualifications This is a career