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, statistical or data modelling); experience with international collaboration and the ability to work effectively in interdisciplinary teams; experience with research dissemination – publications or conference
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intrinsically excited about the prospect of creative collaborative science. You are motivated to develop expertise independently with multiple tools, including observations and models, AI and statistical methods
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for this PhD position should have completed (or be close to completing) a master’s degree in business, economics, psychology, sociology, (business) information systems, applied mathematics/statistics
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quantitative/statistical and bioinformatics skills. You will coordinate collaboration by managing cross-team experiments. You will write and publish your research in leading scientific journals and communicate
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will lead data analysis using longitudinal cohorts from various European countries and apply advanced statistical methods (e.g., ordered probit regression, mixed generalized linear models) to assess
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, experimental designs and applying (multivariate) statistical techniques; excellent written and verbal communication skills in English; independence, eagerness to learn and the ability to work in an
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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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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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) 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