8 condition-monitoring-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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will isolate and characterize microbes and investigate them under anoxic conditions with microliter-scale NMR spectroscopy to study metabolism at the single- or aggregate-cell level. You will be based
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are looking for a new colleague. As an ecologist you will perform applied and policy relevant research focusing on monitoring, modelling, protecting, and restoring biodiversity in (agricultural) landscapes and
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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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, fisherfolk, urban outdoor workers (street vendors in Mozambique and construction workers in Morocco), pastoralists, and displaced people—by transforming weather and climate data into actionable insights
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cycling in farmers’ fields. This PhD position will explore how and under which biophysical and socioeconomic conditions farmers benefit from regenerative practices (by improved soil fertility, yields and/or
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discipline such as Political Science or Sociology. Candidates currently finalizing their Master’s are also invited to apply, with the condition that the diploma must be completed by the time the project starts
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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