Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
effectively with individuals of different backgrounds. May require working evenings and/or weekend hours. Salary: Compensation will be commensurate based on the selected candidate's education and experience
-
that connect animal health, data analysis, and human behavior. Design and carry out field studies, collecting and analyzing large data sets. Use and evaluate AI tools to support research and training. Create
-
Hub. Accountabilities Cleaning, manipulating, and analysing longitudinal quantitative data from various datasets, including survey, accelerometer and GPS, and EMA data from different project sites
-
modelling across different depths of human evolutionary history, building on methods published in Speidel et al, Nature 2025 and application to new large-scale modern and ancient genetic data. - Developing
-
-based processes. Our research aims at developing the scientific field and applications in typical Wageningen themes such as circular processes, food and environmental sciences. We study different types
-
postdoctoral researcher, you will use various techniques to investigate fiber-reinforced structures in nature (i.e., fungi), including additive manufacturing, computer simulations, materials testing, and
-
to decipher the regulatory code controlling gene expression in plants through the engineering and large-scale validation of synthetic promoters. Within the ERC-funded multiCODE project, we aim
-
radioisotopes to track sources and ages of different carbon components. The postdoc will lead the acquisition and analysis of aquatic water chemistry data, collected in different Arctic settings such as northern
-
communication skills, and lab skills; are motivated for coaching BSc/MSc thesis students, and working together with internal/external partners from different backgrounds. In our international working environment
-
, fitting to the project plan. Your profile The candidate should have a PhD degree in natural resource economics or a similar subject. Proven experience in data analysis of markets related to natural