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. The successful applicant will investigate the structure, dynamics, and motility of the bacterial Type IV pilus (T4P) machinery in the model organism Thermus thermophilus using theoretical modelling, simulation
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for production improvement. Explore, build and validate a low fidelity digital twin including more advanced high fidelity configurations critcal for scaling and improvement. Calibrate the models inside the digital
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analytical skills in model evaluation Experience in advanced statistical analysis of results Experience with crop model calibration and evaluation, such as DSSAT, APSIM, or equivalent Insight into analyzing
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modelling of diffuse scattering using X-rays, electrons and neutrons to establish local structure and correlated disorder in advanced materials and including ultrafast femtosecond science. The project
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The Department of Computer Science, Aarhus University invites applications for postdocs and PhD students. Supported by a generous ERC Advanced Grant and a Villum Investigator Grant from Villum
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the biogeochemical mechanisms that underpin the resilience of restored wetlands, integrating field observations, laboratory experiments, and modelling approaches. You will explore how nutrient dynamics, hydrological
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computational models with microbiome-driven mechanisms and lay the groundwork for studies on microbiome modulation as a therapeutic strategy. Integrating clinical expertise and advanced molecular analyses ensures
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advanced contextual spatial and temporal modelling approaches. You will work on combining multi-source data such as field observations, laboratory measurements, environmental data, and drone- and satellite
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Are you motivated to turn advanced research into real-world solutions for climate-smart sustainable soil management? Join us at Aarhus University's Department of Agroecology as a postdoctoral