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social factors. Specifically, the project will study which factors accelerate pro-environmental behaviour change, particularly focusing on feedback loops. The project connects research and policy-making
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Postdoc in Machine Learning for Oligopeptide Design (1.0 FTE) (V24.0584) « Back to the overview Job description The advent of modern machine learning (ML) methodology is accelerating scientific
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Europe ‘Greengrocer' project, a new interdisciplinary research programme of 20+ partners (2025-2029), advancing food footprinting models and solutions to accelerate a sustainable EU food transition
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), or ‘cooperative climate initiatives’ (CCIs), can play a role in strengthening global climate governance and accelerating sustainable transformations. The research particularly focuses on non-state and subnational
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collected across Europe to accelerate species monitoring and integrate biodiversity data. Existing pipelines for species identification are standardized and linked to reference databases. Best practices
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machine learning in order to release this information and make it available for scientists and conservation biologists around the world. The project aims to accelerate the identification and ecological
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release this information and make it available for scientists and conservation biologists around the world. The project aims to accelerate the identification and ecological analysis of museum specimens
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-droplets in the context of chip assembly. Develop novel micro-chip handling processes optimized for high acceleration, velocity, and precision. Conduct advanced experimental research, supported by numerical
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and AI to address data challenges in genomics, trait research, digital phenotyping, and breeding. They are committed to transforming and accelerating crop innovation to meet the advanced technological
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(IEPG) group, headed by Professor Peter Palensky, works on the future of our power system. The TNO Wind Energy research group (cooperation partner) works on challenges related to the acceleration of wind