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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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, NVivo). Proficiency in Excel, SPSS, and other statistical tools. Full fluency in English; proficiency in Dutch is highly desirable. Ability to communicate complex findings to diverse audiences. Excellent
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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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optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and
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energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter specializes
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quantitative analysis. Interest in agent-based modelling, network analysis, computational economics, systems thinking, and climate-related challenges. Proficiency in at least one programming language used
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circularity is enacted on the ground – from mobility networks to food systems, housing, healthcare and beyond. Your work will include longitudinal field research in emerging circular initiatives
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quantitative analysis. Interest in agent-based modelling, network analysis, computational economics, systems thinking, and climate-related challenges. Proficiency in at least one programming language used
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approach with participatory action research components, drawing on Soft Systems Methodology (SSM). We start from empirical understanding in real life settings of the CCs, by following a community-based
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standardization communities (e.g. IETF) An expansive network of academic and industry collaborators globally If you are passionate about building the systems that will power the next generation of the Internet, we