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light/heating modules, and selection and sorting routines. Guided by machine learning, we will perform directed evolution experiments where we optimize the synthetic genome that encodes for a biological
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-derived organoid models. You will work closely with in-house technology platforms, including the Single Cell Genomics Facility, Big Data Core and High Throughput Screening Facility. Our research is embedded
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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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for: design and optimize bioprocesses for cultivated meat production, including media formulation, cell growth, differentiation, and harvesting techniques; conduct and optimize the production of porcine and
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industrial applications of analytical systems with an end user-focused mindset is preferred; Curious and creative in providing tailored solutions; Good team spirit and able to work independently; Good
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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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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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-1 FTE), who will work with Dr. Luis Ramirez Camargo of the Energy & Resources group and with other STORCITO project partners at institutions in Germany, Norway and Spain. The tasks for this position
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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