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to Eurostat. The work will bridge the divide between material inventory and environmental performance assessment. Despite broad ambitions for circular construction, practitioners still lack a seamless way to
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for the performance of scientific research activities in the scientific area of Biological Sciences, Health Sciences or a related scientific area, under a fixed-term public service employment contract for a period of
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datasets to effectively address these threats. As a PhD candidate, you will play a key role in the Observatory, actively contributing to pioneering research with high societal and scientific impact. You will
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of electrical topologies (AC, DC, three-phase) and will integrate both standard and atypical wear cases. On this basis, high-performance artificial intelligence models will be developed. By combining neural
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the membrane porosity and pore size. There will be a strong focus on connecting material properties to membrane performance. The project is part of a larger NWO-VICI project, and as such the recruited PhD
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related discipline in which chemistry and biology have been combined. independent in performing synthetic organic chemistry. experience with (immune) cells, microscopy imaging methods, and/or cell-based
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above-average academic performance. Have experience with data collection and analyzing data using quantitative research methods. Have great analytical skills and are digitally savvy. Feel comfortable
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for multiscale field problems. In addition, experience with high performant computing languages is desired, while knowledge of available third-party simulation tools such as `gmsh` is regarded as helpful
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simulations, and hardware prototyping. The doctoral project focuses on developing novel concepts for VCO-based detectors for EPR imaging, implementing and testing hardware prototypes, and performing advanced
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-organization. Specifically, you will: Use high-throughput live-cell microscopy, quantitative image analysis, and set-up super-resolution microscopy to track these changes. Combine experimental data with