9 modal-analysis-machine-learning PhD positions at Wageningen University and Research Center
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evaluate them alongside newly developed approaches. Integrating methods such as case weighting, anomaly detection, and model-based prediction (e.g., geostatistics and machine learning), using auxiliary
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analysis with societal relevance? You might be the ideal PhD candidate to join our team! We are looking for a highly motivated PhD candidate to assess how regenerative practices influence carbon and nitrogen
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(agent-based modeling, differential equations) or machine learning tools. Good programming skills in one of the following programming languages: R, Python, MATLAB, or similar; Excellent English language
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collaboratively in an interdisciplinary, multicultural research environment. Strong analytical skills, with experience in statistical analysis, geospatial data processing, or modelling of socio-environmental
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types of communication on social media and how that affects polarization. You will use an innovative multimethod quantitative approach, such as longitudinal survey research, (automated) content analysis
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(or strong willingness to learn) in programming and data analysis (e.g. Python, MATLAB, R, Fortran, or similar). Curiosity and motivation to work on fire emissions, air quality, and climate questions. Ability
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biology, molecular-genetics, or genetics. Interest in bioinformatics / analysis of large datasets. In our international working environment, there is an increasing amount of communication in
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enthusiasm. Wageningen University & Research encourages internal advancement opportunities and mobility with an internal recruitment policy. There are plenty of options for personal initiative in a learning
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management? Your work will combine theoretical analysis with real-world case studies to identify promising institutional approaches. You’ll evaluate current governance mechanisms, financial instruments, and