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public audiences and taking part in a pilot programme where experience can be acquired in high school science teaching; use graph theoretical tools to develop new fundamental frameworks and analytic tools
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? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase. Your work will help shape environmentally
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package within the core research program of CropXR. Our goal is to develop computational methods to translate integrated simulation models of plant responses to stress (drought, heat) from a model plant
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a PhD candidate, you will join the Artificial Cognitive Systems group within the Department of Machine Learning and Neural Computing at the Donders Institute for Brain, Cognition and Behaviour. You
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comfortable applying analytical thinking to explore research questions and have programming experience (preferably in Python). You have an affinity with coastal numerical modelling, e.g. AeoLiS, XBeach
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materials. Another major challenge is enabling motors to function in aqueous media, which opens up numerous opportunities for integrating motors with biological systems, i.e. to design responsive biohybrid
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dissecting RNA structure ensembles in living cells. Particularly, you will: Develop novel methods (both wet and computational) for the accurate interrogation of RNA 2D and 3D structures in living cells. Apply
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develop innovative methods to measure diverse isotope dimensions for methane, as well as organic precursors, in order to trace carbon flow in methane-related ecosystems; 2) You will conduct culture
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technology, which works by cutting a DNA sequence at a specific genome location and deleting or inserting genes there. The CRISPR-Cas method provides an excellent basis for the development of unprecedented
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of the Dutch NWA consortium “PRELIFE”, https://www.originscenter.nl/prelife/ The origin of life remains one of science’s most profound and enduring mysteries. Despite numerous theories, no single explanation has