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Field
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wanting to monitor and optimize their health in a home setting, or to workers operating outside the reach of regular medical care and diagnostic equipment. As an Engineering Doctorate (EngD) candidate in
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, programmability, high linearity and low-noise signal conditioning including optimal dynamic range and bandwidth utilization. This position offers a unique opportunity to drive research at this critical intersection
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meta-analyses can be optimally applied within the field of otolaryngology. In doing so, you will not only contribute to new insights for patients with tinnitus and hearing loss, but also to the further
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optimization strategies to maximize yields of desired products. A key aspect of the project is understanding and improving catalyst stability, including identifying deactivation mechanisms and developing
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to develop a physics-based rational approach to optimal parameter reconstruction from diffraction data from designer multiple scattering structures, designed for, e.g., measuring lithography performance in
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with advanced photoreactors, modular LED light sources, inline analytics, and machine-learning algorithms for the autonomous optimization of photocatalytic reactions. Research will address key challenges
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and prothrombin. Wet lab production and screening of the aforementioned binders. Optimization of heterobispecific Fc format using protein engineering focusing on humanization and improved stability
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brings together expertise in energy informatics, optimization, data science, social sciences, and governance to develop trusted data-sharing solutions for the heat transition. Within the project, you will
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consultation for an optimal work-life balance. Scope for your talent with advancement prospects and excellent development opportunities such as mentoring, workshops and coaching. Partially paid parental leave
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, this project offers opportunities for methodological research. We are investigating how IPD meta-analyses can be optimally applied within the field of otolaryngology. In doing so, you will not only contribute