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recognition code. In this project, we take a bottom-up approach to study synapse assembly: we will reconstitute minimal, well-controlled synaptic contacts and subject them to detailed structural
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the world. Code Review Efficacy The reviewing track will explore ways to make code reviewing more effective and efficient. A major element is how LLM tools relate to reviewing, either when code is produced by
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fully funded PhD position within the LowDataML doctoral network, focusing on developing innovative machine-learning approaches for drug discovery under low-data conditions. LowDataML aims to bridge
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and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In
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will apply and validate the tools in their own projects and networks. You will join the interdisciplinary research group Designing Value In Ecosystems, within the Design, Organisation and Strategy
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coordination failures reshape decarbonization pathways. Your research will combine methods from network analysis and agent-based modelling of economic systems to trace how international material and financial
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exciting research direction. Join Us! Modern deep learning is progressing fast. Yet even the most advanced neural networks are paired with crucial limitations, such as making arbitrarily bad predictions
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and researchers from other universities and cooperate with an extensive network of business partners. The KIN research group is also responsible for several courses and minors in the Business
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well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge institutions, companies, social organisations and governments. Click here to go to the
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public sector, and has an extensive network in the Netherlands as well as internationally. Click here to go to the website of the Faculty of Architecture and the Built Environment. Conditions of