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-generation combinatorial editing tools and applying them to study genetic interactions. As all our projects integrate high-throughput experiments with computational analyses we are particularly interested in
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, including finite-element simulation and topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks
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performs research at the interface of tissue, tumor, and vaccine immunology. Our overarching goal is to identify processes that optimize immune responses for application to the design of novel cancer
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DTU Physics seeks a talented and motivated postdoctoral researcher for a 2-year position in computational nanophotonics. The goal is to use inverse design, such as topology optimization
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chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO2 valorization in
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, which integrates healthcare, research and education on pediatric cancer, in a single location in Utrecht. Our institute aims to provide the highest level of care for all children with cancer, with optimal
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research on plasma deposition of functional materials on textiles. Conduct research on plasma-based deposition of functional topcoats for engineered textiles. Develop and optimize plasma deposition processes
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will work with data collected from the field to the spatial scale, and investigate spatial optimization approaches to improve the model parameterization at the spatial scale. We expect that you will be
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strong interest in applied AI in bio-medical settings several years of experience in data analysis / machine learning / AI as well as, optimally, multi-omics integration, lipidomic analysis, and/or single
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optimizing simulation tools such as CalPhad to support experimental findings. Conducting in-depth metallographic analysis and establishing correlations between mechanical properties and microstructural