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the analysis. These logistics concepts must be resilient: robust, adaptive, and flexible. The research questions can be tackled by combining techniques from the domains of Integer programming, (Stochastic
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, you'll help synthesize a conductive anode within a bicontinuous emulsion, coat it with a nanoscale separator, and fill it with cathode material. The goal is a scalable, robust fabrication method that could
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-scale processes like swelling and shrinkage generate microfractures and facilitate clay particle movement? Can we develop robust upscaling approaches from pore to field scale that enable reliable
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current implementations are pulsed and sequential, limiting their bandwidth, robustness, and scalability. Achieving continuous operation in a compact format remains a major challenge—particularly for real
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are realized and identify opportunities for further refinement. Develop a robust quality management framework for your AI-solutions, ensuring they can be safely evaluated, validated, and integrated within our
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mineralogy control magnetic stability. Presenting your findings at international conferences and publishing in peer-reviewed journals. You will be supervised by Dr Lennart de Groot and work closely with a
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? Join us to develop deep learning techniques for fusing acoustic sensor data with other vehicle sensors for robust multi-modal environment perception. Help shape the future of autonomous driving! Job
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-state cultivation, controlled perturbation experiments, and multi-omics analyses, you will unravel the metabolic mechanisms and microbial interactions that underpin robustness and resilience in syngas
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controlling their noise is critical. This PhD focuses on airborne noise source localization in urban environments, enabling quiet air mobility. Job description The rapid growth of air mobility operations
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simulation frameworks combining electro-thermal-mechanical models for fast charging and robust performance. A key goal is a hierarchical design environment (cell → module → pack → vehicle) enabling flexible