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with clinical populations or translational research settings. Strong programming skills (e.g. Python, MATLAB, R) and experience with statistical modelling or machine learning. A strong publication record
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and patients. You demonstrate a team-oriented attitude with excellent communication and organisational skills and are able to work independently. You have a good knowledge of statistical methods. You
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strong mathematical skills (e.g., probability theory, statistics, calculus, and linear algebra); Have strong communication, presentation and writing skills; Enjoy working in a multidisciplinary research
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(algorithms), and statistics. During this project, you will develop new methods to construct phylogenetic networks and generalize mathematical frameworks of phylogenetic network classes to tackle related
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track record in one of the abovementioned fields. You have a strong background in quantitative empirical data analysis methods, such as econometrics, statistics and machine learning. You have completed
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project stakeholders. Enthusiasm for performing field work on-station and on-farm. Strong analytical and statistical skills; experience with ecological data analysis or ecological network modelling is an
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skills and are able to work independently. You have a good knowledge of statistical methods. You have a good command of written and spoken English. You meet the MSCA mobility rule by not having resided
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) a statistical package (e.g., Stata or R). Excellent command of English. Applicants whose native language is not English are therefore required to demonstrate English proficiency by: proof
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statistical skills; experience with crop modelling is an advantage. Affinity to work within a larger multi-disciplinary project, with strong project/time management skills. Proficiency in Dutch, and/or valid
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analysis, visual methods, and mix-method (statistics, other quantitative and qualitative research) skills; Strong scientific English writing skills; an experience in academic or professional publishing is a