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policymakers to ensure the MRV system reflects real-world needs and barriers. Organize policy and science-stakeholder forums for co-developing MRV strategies and implementation pathways. Your profile We
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this date. Job description Recent improvements in machine learning have dramatically improved the accessibility of de novo protein design. In this project, we seek to exploit these developments to interrogate
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collaboration project for developing scalable AI-driven solutions for groundwater resource management in data-scarce environments. If you're driven by impactful science, excited by AI applications, and eager
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science and physics. You will be involved in developing hydrogel cascade reactors with in built nanotechnology These activities will be in close collaboration with a protein engineering group Your profile
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research environment focusing on integrating multi-source data and developing novel algorithms to address the challenges posed by global environmental change. You will focus on integrating experiments, field
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to the Bachelor’s degree programs in medicine, molecular medicine, odontology and the Master’s degree programs in biomedical engineering and medical chemistry. Our infrastructure is well developed with modern
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Are you interested in protein O-GlcNAcylation in neuroscience and can you contribute to the development of modelling intellectual disability in Drosophila melanogaster ? Then the Daan van Aalten
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, structural biology, extracellular polymeric substances, or biomolecular structural and functional characterization, and can contribute to the development of the project Rethink? Then the Department
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environments. Your key responsibilities will include: Developing hydrological models to predict recharge zones using remote sensing and in-situ data. Integrating soil moisture maps, digital elevation models, and
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September 1st, 2025, or as soon as possible. The positions are for two years with potential for extension. We seek outstanding candidates to develop generative-AI-based statistical methods for blood-based