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PhD Position – Development of metal-organic frameworks-glass composites for sustainable applications
for sustainable applications. By combining the porosity and chemical tunability of crystalline metal–organic frameworks (MOFs) with the processability and mechanical robustness of glassy matrices, these hybrid
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subsystems that support extended operations. 2. Multimodal Sensing, Perception, and Precision Control Reliable drone operation in agricultural environments requires robust sensing, perception, and control
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induction and resonant coupling to create robust, efficient, and scalable SWIPT devices. The project integrates theoretical modelling, simulation, and experimental validation to enable safer, flexible, and
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state-of-the-art hospital has resulted in remarkable clinical growth and robust research portfolio. The Ohio State University is currently seeking faculty at the Assistant Professor, Associate Professor
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of measurement systems, signal processing and analysis and the assessment of measurement accuracy, robustness and long-term stability. The resulting data form the basis for model-based approaches to evaluating
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under relevant process conditions. Rational mutagenesis and computational protein design will then be applied to enhance lithium specificity and operational robustness in complex, high-impurity leachates
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-Stiftung, addresses a fundamental AI challenge: achieving robust model generalizability in non-stationary environmental systems. Focusing on hydro-climatic extremes and their impacts, a multidisciplinary
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solutions for scientific data integration. Serve as technical lead, mentoring PhD students and lab researchers on engineering standards, reproducible research practices, advanced ML techniques, and robust
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generalizable, learning-based frameworks for dexterous robotic manipulation that are robust to environmental variability and transferable across diverse underwater robotic platforms. As a PhD in this position
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learning Learning for increased robustness to variations and adaptation Doctoral Researcher 2 will work on the following topics: Learning for adaptive and robust human-robot and robot-environment interaction