37 multiscale-multi-scale-composite Postdoctoral positions at Technical University of Denmark
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opportunity to be part of large-scale experiments tackling pressing societal challenges. You'll be involved in every stage of the research process—from experimental design to data analysis and publication—while
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, image processing and deep learning with a fundamental understanding of related disciplines such as mechanical engineering and composite materials. As a formal qualification, you must hold a PhD degree (or
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engineering. It covers a wide range of manufacturing processes and modelling approaches, metrology at all scales, micro/nanomanufacturing, and additive manufacturing. The research is based on a
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-waveguide couplings that surpass the time-bandwidth limit of static cavities [Xue2022]. With these components as building blocks, we envision large-scale recirculating circuit architectures [Heuck2023b
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Technology (DTU Space), current focus areas cover large-scale structure of the universe, physics of compact objects, exoplanets, upper atmosphere physics and cosmo-climatology as well as development
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for experimental research within molecular biology, strain engineering, high throughput screening and fermentation at different scales. Responsibilities and qualifications Focus is on genetically engineered bacteria
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implementing and scaling innovative solutions that impact operational efficiency and user experience in the built environment. Responsibilities and qualifications Your overall focus will be strengthening
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at the building and neighbourhood levels. By joining our forward-thinking section Digital Building Technologies at DTU Construct, you will gain hands-on experience in implementing and scaling innovative solutions
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cross-institutional collaboration and knowledge exchange. This project offers a unique opportunity to work at the intersection of academia, start-ups, and large-scale industry partners. Our focus is on
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platforms. Experience in high-performance computing or working with large-scale simulation environments. Prior work involving model calibration, optimization under uncertainty, or scenario analysis