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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
for Quantitative Genetics and Genomics (QGG) holds a prominent position in research in developing breeding plans and breeding goals for sustainable production. We are developing simulation tools for breeding
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at the AU Biogas facility. Conduct in-depth performance mapping including gas analysis, hydrogen yield, energy consumption, and carbon black morphology. Conduct process and plasma simulations as required
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imaging beyond the limits of conventional voxel-based imaging. The project will involve theoretical and computational work, with particular emphasis on physics-based simulations, biophysical modelling
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. Modelling heat symbiosis and multi-energy interactions to evaluate cross-sector optimization and CO2 reduction potential. Conducting scenario-based simulations to assess system performance, flexibility
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/simulations). The role involves e.g. signal detection in noisy & interfering environments; signal filtering; signal compression; processing of measured data from mmWave RF signals; radar returns; quantum
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applications for a unique postdoctoral position focused on the development of digital models of the human colon and surrounding organs to simulate their behaviour during colonoscopy procedures. The successful
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include feasibility and scalability considerations (e.g., approximate solutions, application of symbolic data structures). Task 2: Simulation of quantum circuits with high-level structure and under noisy
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Your application should in English include: Cover letter addressing the requirements (max. one page) Curriculum Vitae A certified/signed copy of certificate(s) of education Please submit your application
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include feasibility and scalability considerations (e.g., approximate solutions, application of symbolic data structures). Task 2: Simulation of quantum circuits with high-level structure and under noisy
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operation process. Particularly, we seek to support architects to design more sustainable buildings through simulation-assisted performance feedback regarding initial design concepts. We will explore how AI