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Field
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. This intervention constitutes optimal timing and a comprehensive design to achieve its intended goals, i.e., improved functional recovery post-TJA and general health, and decreased socio-economic burden
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and control, equipment diagnostics, environmental adaptation, and human activity recognition. Moreover, integrating acoustic information with complementary sensing modalities has the potential to unlock
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for the development of more predictive preclinical platforms. This PhD project is part of the ANR JCJC EXOFLEX project, which aims to develop an instrumented microfluidic platform capable of simultaneously controlling
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, by that enabling improved control and optimization. Stall detection will be a natural part. The PhD project is internally financed but will be associated to two large research programmes at NTNU and
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coherently scattered light from a target of interest. Within the project, you will investigate how to achieve full control over the amplitude and phase of the input probe, what additional constraints
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to artifacts such as non specific absorption, parasitic reactions, or diffusion based resolution loss. In this project, we will design and control a surface modifcaiton process based on a double, photo
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develop advanced models, algorithms, and control solutions for simulating, optimizing, and operating future integrated energy systems. We address the challenges arising from the increasing integration
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and its supporting infrastructure • realize on-chip pulsed DNP • design microwave pulse sequences for on-chip DNP using spin physics, numerical simulation tools, and quantum optimal control
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to increase resource use efficiency. However, managing and optimizing these new cultivation systems requires crop models that can predict plant growth, crop yield and resource use under highly dynamic
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such as process modelling, thermodynamics, heat and mass transfer, process dynamics and control, optimization or energy-system analysis, and you are interested in applying these disciplines to Power-to-X