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Field
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, optimized for coupling with molecular vibrational and electronic transitions. By embedding selected organic or hybrid molecules into these cavities, the research will probe the emergence of quantum light
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response times and elucidate the energy transfer pathways within the nanogap. Additionally, the research will investigate the temperature and material-dependent properties to optimize switching efficiency
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influence helps detect labeling errors or prioritize unlabeled images, optimizing the learning algorithm and service quality. The doctoral student will carry out their work at IMAG (UMR of Mathematics) and
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rapidly enough. There is an urgent need to develop new tools, understand how to optimally deploy both novel and existing tools, and understand the health system implications of each approach. Novel testing
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will contribute to building stronger theoretical foundations for structural optimization, to designing new algorithms for such integer programs, and to applying structured integer programs to various
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controlled instructional gradients. Your work will include designing and optimizing experimental protocols, advancing microfluidic encapsulation methods, testing novel polymer materials, and employing cutting
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We are seeking a talented and motivated Postdoctoral Research Associate (PDRA) to join the Energy and Power Research Group for a 12-month appointment to develop, implement and test a numerical model
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is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up. The developed technologies will be
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Boltzmann method simplifies the numerical treatment of fluid flows by evolving particle distribution functions across straight lines on a computational grid, rather than evolving the trajectories of the flow
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farms at relatively close proximity can be relevant when considering their annual energy production. This project will examine the uncertainty of various types of numerical models, from fast-computing