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of optimal experiments. The student will work in close collaboration with the Englitz lab, so that there is a direct link between modelling, data analysis and experiment. As a PhD candidate you will
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extracellular matrix deposition. The successful candidate will work on optimizing and innovating MEW processes, integrating them with complementary bioprinting methods, exploring the application of melt
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programme at ERIM: o Advanced data analytics for integrated port call prediction and optimization , deadline 31 March 2025 o PhD in Coordinated planning in port call optimization , deadline 31 March 2025
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into practical design insights and potential policy recommendations. In doing so, you’ll support landscape architects in designing spaces that optimize health and biodiversity outcomes, promoting the coexistence
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. Within the UMCG, the PhD student will work with the ex vivo lung perfusion model where the main focus will be optimization of the model for administration of regenerative therapies developed within
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) build data-driven predictive models for catalyst activities and selectivities; 3) implement closed-loop ligand optimization for reactivity and stereoselectivity. This position will be part of the Marie
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vibrational Non-Destructive Testing (NDT) methodology for quality assurance in metal AM. By going beyond the state-of-the-art, we aim to optimize AM benefits, particularly for complex geometries. Insights
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unintentionally disadvantage vulnerable communities by charging higher rates during peak hours, thereby reinforcing existing disparities in energy access. To counteract such effects, tools from optimal control
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ligand testing workflows for CuH-catalyzed hydrofunctionalizations; 2) build data-driven predictive models for catalyst activities and selectivities; 3) implement closed-loop ligand optimization
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for quality assurance in metal AM. By going beyond the state-of-the-art, we aim to optimize AM benefits, particularly for complex geometries. Insights gained will enhance the understanding of AM variability