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optimize the detector and its parameters. In this project, you will focus on developing a suitable solution for integrating photo detectors with the analog front-end. You will work on this solution, ensuring
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all children with cancer, with optimal quality of life. The center brings together the best possible care and scientific research, creating a unique interdisciplinary institute for pediatric oncology in
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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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the bearing. To optimally re-lubricate, it is vital to understand this mixing process. Currently, the scientific knowledge of re-lubrication is non-existent. This project will build new knowledge on several key
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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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background: familiarity with dynamic optimization, cost‑benefit analysis or macroeconomic modelling is an advantage; Experience with programming (Python, R, MATLAB or similar); Ability to collaborate