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Natural resources (LIFE) are crucial to maintaining the well-being of societies. Sustainable management of these natural resources balances the needs of people and the environment. It avoids the depletion, degradation, and destruction of ecosystems, prevents biodiversity loss and soil erosion,...
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Hey machine learning enthusiast with a love for physics and complex systems, will you help us develop a new generation of road traffic prediction methods? Job description Road traffic is a highly
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of Physical AI — and they cut across domains that look different on the surface but share the same scientific core: a robot rehearsing a manipulation task in a digital twin, and a biomedical model simulating
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academic research and direct engagement with urban practice and policy. You will be employed by WUR and work from both Wageningen and the AMS Institute in Amsterdam. AMS is a partnership between Wageningen
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Silent ICU) project, an ambitious international collaboration developing the next generation of interoperable ICU technologies. Your work will investigate how reducing unnecessary medical alarms affects
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specialists, and Sahelian research partners — this post-doc position will help to lead the cross-cutting work package that co-develops, implements, analyses, and communicates findings from pilots and RCTs
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biodiversity research (e.g., taxonomy, evolution, genomics, ecology, and geology). You will receive dedicated supervision from experienced researchers and work closely with international experts and
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and representation in a (post) imperial context? In this post-doctoral position you will work in an interdisciplinary team studying changes in the sound of political disagreement over two centuries
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to work at the intersection of science, governance, society, and the arts. Through your research, you will help critically analyse, co-produce knowledge, and build the tools needed to support inclusive
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you will do work with plants and viruses and to perform disease assays; employ an optimized proteomics method that uses cross-linking and affinity purification to determine the RNA-binding proteome