Sort by
Refine Your Search
-
the closing date. The intended starting date of the PhD is from 1 September 2024. Equal opportunities Wageningen University & Research (WUR) employs a large number of people with very different backgrounds and
-
stakeholders about our future. As part of a large consortium called HybridLabs, we are advancing the use of XR for making environmentally sensed data, models, and simulations more accessible. HybridLabs aims
-
large data sets; you have a strong affinity for theory, and love discussing it; you are ambitious, proactive, enthusiastic and collaborative; you are fluent in English (C1 level), and write well
-
. HybridLabs The current PhD project is part of a large NWA-ORC project HybridLabs, which aims at facilitating a faster development and deployment of technologies supporting energy, food, and ecological
-
bioinformatician who wants to develop and apply computational methods for microbiome analysis and virus discovery using sequencing data sets? Then this PhD vacancy might be of interest to you. Like all organisms
-
are available for the position. Our PhD students are encouraged to supervise MSc thesis students when such opportunities arise, and you will be involved in teaching activities. Additional Information Benefits
-
24 Apr 2024 Job Information Organisation/Company Wageningen University & Research Research Field Agricultural sciences Researcher Profile First Stage Researcher (R1) Country Netherlands Application
-
). The PhD student will be able to design their own research project on the broad topic of ‘contested landscapes’ combining insights from political ecology and anthropology. Background information Political
-
translate bio-inspired knowledge to the development of modular walls for construction? Then you might be the PhD candidate we are looking for! Information about the project As a PhD candidate, you will use
-
countries are still performed one breed at a time and do not include genomic information yet. Therefore, as a PhD student, you will work on addressing this challenge by: developing and validating novel multi