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capabilities, existing technology can only handle relatively small-scale problems. Information In the SymBi project (Exploiting Symmetries for Faster Bilevel Optimization Algorithms), we address this limitation
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Vacancies Postdoc position in open-source respiratory signal analysis (M3RESP) Key takeaways You will work on the development of M3Resp, a new open-source FAIR platform for multimodal monitoring
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, allowing demand flexibility services, distributed Energy Resources (DER), efficient operation, relevant savings in network investments, and the participation of consumers. Europe requires large investments
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that strengthens collaboration, reduces time-to-job, and drives innovation for a climate-neutral society. In this position, you will design and optimize learning communities that integrate learning
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. Based on these insights, you will formulate design rules to predict optimal loading conditions and release mechanisms, supporting experimental optimization. We expect you to be able to work with a high
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of musculoskeletal biomechanics, AI-based prediction, and real-time exoskeleton control. Research Focus The successful candidate will work on the development of predictive, real-time control frameworks for ankle
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skills for functional genomic screen design and analysis. You will build CRISPR tools, design optimized pooled genetic screens (e.g. Perturb-seq–based approaches), and troubleshoot the experimental
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. The goal of these two postdoc positions is to contribute to the modelling, simulation, and optimization across different LDES technologies, from device (ESS+inverter) to system level (grid integration) under
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of the urban soil/subsoil in Amsterdam required for optimal tree growth. Ecosystem services include: storing water in the unsaturated zone; draining water via groundwater; sequestering carbon; filtering and
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(Federated Learning). Analyze Mobile & Wearable Data: You will work with noisy, high-frequency time-series sensor data (e.g., accelerometers, gyroscopes, biosignals) from mobile IoT devices. You will address