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position in experimental nanophotonics and optical materials discovery. The goal is to identify, characterize and utilize emerging optical materials with high refractive index and low losses, that can
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WRF-Chem is complex. Documented experience using FORTRAN, C or similar is therefore required • A substantial fraction of the technical part will be handled on high performance computers and the AI
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numerical performance and interoperability. Extend the framework to include CCUS and PtX components (compressors, coolers, JT flash for CO₂ conditioning, storage tanks, pipeline transport
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on high performance computers and the AI supercomputer GEFION, all operated in a Linux Environment. Documented experience with Linux is therefore also required Candidates with a completed PhD degree
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moulding, and you will test specific mechanical and physical properties in order to generate high-quality data for training and validating Machine Learning models. You will use these models to analyse how
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their performance for upscaling the production of CO2 capture materials, and then their combined use in CO2 capture and conversion. You will be involved in independent and collaborative projects dealing
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regarding higher education and preprofessional sports. The respective work package comprises an empirical mixed-methods analysis of how actors (students, high schoolers, teachers, coaches, university
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thereafter with possibility for extension of the employment. Job description You will be working using several methods to study RNA, protein-interactions and epigenetics, often including high through-put
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imaging, and super-resolution imaging of cells. Your main tasks will consist of: Research of high international quality and publication in top journals. Collaboration with colleagues who work on
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, protein-interactions and epigenetics, often including high through-put methods. The project focuses on novel aspects linking RNA, metabolism and epigenetics, and allows for active involvement in shaping