12 finite-element-analysis PhD positions at Wageningen University and Research Center in Netherlands
Sort by
Refine Your Search
-
methods and data analysis to efficiently generate the right insights. Position within networks, you can effectively gather information and context; you maintain and expand your network for sustainable
-
data collection fieldwork (quantitative and qualitative) related to health and WASH services followed by econometric and spatial analysis, and engaging with local communities and decision-makers. Your
-
related to the composition of fish, their feed, and the water quality of aquaculture systems. Your main tasks as an Analyst will involve the preparation and analysis of samples for nutritional research
-
work. The candidates should be fluent in written and spoken English, enjoy working within the interface between curiosity-driven and application-inspired research. A key success factor of this project is
-
and application-inspired research. A key success factor of this project is intensive collaboration between the two PhD projects, which means that candidates should enjoy collaboration with other PhD
-
Your job Are you a highly motivated and enthusiastic individual with a strong background in process-based modelling, data analysis, and hydrogeology? Are you passionate about hydrogeological system
-
population monitoring, or ecosystem functioning measurements Good knowledge of the Dutch flora Experience with data analysis in R Strong organizational and communication skills Experience in spoken and written
-
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
-
knowledge of arable farming and open-field vegetable cultivation; knowledge of data processing and statistical analysis is a plus. You have knowledge of and interest in the relationships between soil, ecology
-
collaboratively in an interdisciplinary, multicultural research environment. Strong analytical skills, with experience in statistical analysis, geospatial data processing, or modelling of socio-environmental