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Field
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optimize the synthetic genome that encodes for a biological function such as shape manipulation. Next to all this, the candidate will also do research on entropic segregation of synthetic genomes by testing
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-optimal production outcomes. Deviations from normal behavior have diverse causes, ranging from misplacement, heterogeneity in material, to fatigue. Locating such issues in the production line can be
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-optimal production outcomes. Deviations from normal behavior have diverse causes, ranging from misplacement, heterogeneity in material, to fatigue. Locating such issues in the production line can be
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assessment. You will be provided with access to various engineering and computation toolsets along with the high-performance computer. A good background in numerical methods and computational platforms is
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on the fundamental understanding and process optimization of an electrochemical cell system incorporating redox-flow electrodes and ion-selective membranes for Lithium purification. The goal is to selectively remove
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to keep the data up-to data with very little effort. Estimate energy and land needs for the realization of the CCU potential. Develop a multi-objective optimization model for individual CCUS projects
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learning with a background in robust and embedded control, aerospace systems and physical modelling, as well as in artificial intelligence-related concepts, computer vision and numerical optimisation
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for mastering magnetron sputtering of piezoelectric thin films. This includes: Exploiting new deposition schemes and parameters of reactive magnetron sputtering, aiming for optimal piezoelectric thin film
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adaptive, personalized interventions that dynamically respond to an individual’s behavior and environment. You will conduct independent research focused on developing and optimizing such adaptive and