Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
, business school scientists, system modeling and optimization researchers, computer scientists, legal experts and social scientists working on energy topics. Description of the PhD project The project
-
to mitigate climate change and nitrogen losses. You engage in multidisciplinary research projects that focus on the role of animal nutrition in building a sustainable pig production sector in collaboration with
-
this NWO summit EMBRACER project at the forefront of polar research. You will explore Arctic sea ice decline and ocean warming using satellite data and coupled modelling tools. Collaborate with
-
researchers mimic in the laboratory to engineer tailor-made (bio)molecules that aid us in combating diseases and in realizing a sustainable economy. While effective, such directed evolution campaigns are not
-
diseases, and how these influence, or are influenced by, labor force participation and income. In addition, you will develop simulation models to predict how different policies could reduce the disease
-
deadline: 15 May 2025 Apply now Do you want to do research to help create healthier urban environments? Do you want to leverage cutting-edge technology and innovative research to find out how our cities
-
. This PhD project aims to investigate punitive and other public order responses to homelessness, potentially focusing on the Netherlands yet situating the analysis within a comparative framework of the
-
individuals often cannot avoid, such as sleeping, eating, and urinating in public spaces, as well as restrictions on erecting shelters or begging. This PhD project aims to investigate punitive and other public
-
enthusiastic about our project-based multidisciplinary approach to bacteria and host interactions during infection. You have expertise in molecular biology combined with molecular biological techniques (e.g
-
unclear strategies for bias mitigation limit its effectiveness in practice. This PhD project addresses the following central research question: how can we design human-AI collaboration to mitigate biases