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: 30 August 2025 Apply now As part of the EMBRACER project external link , you will use advanced models integrating our climate system to human behaviour to study potential scenarios of what could happen
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September 2025 Apply now Methane is a potent greenhouse gas, and reducing its emissions is essential to meet Paris Agreement goals. Future emissions from ecosystems depend on their environmental response
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are seeking a highly motivated PhD candidate to develop efficient on-device generative AI systems based on large language models (LLMs). The project focuses on creating compact, low-latency, and energy
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to support businesses, policymakers and NGOs in measuring environmental impacts of (agri-food) products, and designing pathways to reduce those? We are looking for an experienced colleague with a market- and
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DFT modelling, are a plus. Project description and responsibilities The position entails the synthesis of new ruthenium-based photocages. You will be integrated in the MCBIM group (https
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dune development and increase the applicability of coastal dune models. Your job In this project, you will investigate dune erosion and growth by performing morphological analysis on existing coastal
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at Utrecht University. Your qualities You are a motivated team player, have experience in modelling using programming language(s), and have completed your MSc degree in Earth Sciences, Environmental Science
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actors involved in managing public space? How can they adapt to dynamic societal needs and increasing spatial interdependencies? What institutional models promote more efficient, equitable and resilient
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How and why did human language evolve? What are the social, cognitive, and environmental pressures that drive the emergence of language and shape its structure? As a PhD candidate, you will explore
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. While CBNRM is grounded in the idea that communities are well-positioned to manage local resources and align environmental goals with socio-economic benefits, empirical evidence on its long-term outcomes