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methods have excellent oral and written skills in English (requirements: see application format) Have Dutch language skills, level B2 minimal Current master students are welcome to apply. However
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robotic systems and AI models. You will learn how to programme advanced robotic systems and how to implement aspects of deep learning and neural networks for chemical property prediction. You will be part
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found here . Preferred but not required: Experience with behavioral data analysis, 3D tracking, or video analysis Familiarity with comparative methods, phylogenetic analyses, or statistical modelling
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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
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to constructively engage with researchers and other stakeholders outside of their discipline. be proficient in the English language (oral and written). In addition, prior experience with any of the following methods
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you eager to make AI more sustainable? 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
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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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co-design adapted and new methods to enhance reflection and learning in and adaptive capacity of learning-oriented experiments. The intended start date of your employment is 1 November 2025 and the
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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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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