75 parallel-computing-numerical-methods "Multiple" Postdoctoral positions at Aarhus University
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detection methods Background in public outreach or science communication Familiarity with high-performance computing environments Proficiency in Danish and/or German Who we are The Department of Ecoscience is
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grasslands and evaluation of land-use intensity, Expertise in classification with machine-learning methods, statistics, spatial analysis and land-use modeling, Experience and interest in conducting fieldwork
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on understanding how different excitation methods generate polarons and correlated materials in the cuprates and other quantum materials, building on our recent results in the vanadium dioxide (see Johnson et al
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extension. Job description We are looking for applicants with interests in the biogenesis and turnover of nuclear RNA and its relationship to gene expression regulation in mammalian cells. Applied methods
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methods Who we are At the Department of Agroecology, our main goal is to contribute to sustainable solutions to some of the world’s biggest problems within the areas of soil, plants, animals, humans, and
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June 1, 2026, or soon thereafter. The position is within the research section Management and Modelling. The research section Management and Modelling develops methods and tools for herd management
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neuronal cultures and brain tissue samples will be used. Targeted identification will be achieved by e.g. cryo- immunofluorescence (cryo-CLEM) and immunogold. Cryogenic focused ion beam milling methods will
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publication Epidemiological investigations of causes of obesity with a focus on structural factors Statistical analysis of cohort and register-based data using epidemiological and causal inference methods
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microscopy, optical interferometry, vacuum technology, finite element method simulations will be involved. Applicants should hold a PhD in Physics, Nano-science, Engineering or similar, experience with optics
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, proteins and DNA origami constructs, and computational procedures for data analysis. The project is a collaboration between the single molecule biophysics and chemistry group at iNANO/Department