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that can subsequently be assembled into complex aerostructures using welding. This provides significant opportunities for more efficient and cost-effective aircraft manufacturing. However, welded composite
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phenotyping, microbiome profiling, predictive modelling and targeted experimental validation to identify the microbial factors that make plants more resilient to disease. Your job You will join the Plant
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subsequently be assembled into complex aerostructures using welding. This provides significant opportunities for more efficient and cost-effective aircraft manufacturing. However, welded composite assemblies
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applications. As AI models continue to increase in size and computational complexity, the demand for high-bandwidth, low-latency, and energy-efficient interconnects has become one of the key technological
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novel methodology for the analysis of single-cell (multi)-omics data by incorporating existing biological knowledge into machine learning models. You will join a collaborative and internationally-oriented
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compositionally complex circular steels. As a PhD researcher, you will: Perform Density Functional Theory (DFT) calculations to model hydrogen-tramp element co-segregation at grain boundaries and phase boundaries
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to contribute to a more sustainable and better world? We, Wageningen Food & Biobased Research (WFBR), are looking for a researcher data & modelling. Are you the one who will strengthen our team? What will you do
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Engineering. DCSC is an internationally leading research centre where PhD candidates, postdocs and faculty members work on modeling, analysis, control and optimization of complex dynamical systems relevant
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measurements and process-based modelling to identify the mechanisms linking vegetation, soil microorganisms and ecosystem carbon cycling. The project spans laboratory, field and ecosystem scales and combines
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the microbiome acquired in early life influences immune development and intestinal health? Join an ERC Starting Grant project that combines advanced gut-on-a-chip technology, organoid models and omics approaches