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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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close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective
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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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The Department of Ecoscience, Section for Wildlife Ecology at Aarhus University is seeking a postdoc (2 years) to develop and apply camera-based methods for population monitoring of bats
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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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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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collaboration and impact. Commitment to safe laboratory practices and structured documentation of synthesis and scale-up procedures. Your Profile Applicants must hold a PhD degree in Chemistry, Chemical
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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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methods, including UAV-based landscape mapping, terrestrial and freshwater eDNA, passive acoustic and camera monitoring, and novel sensor and logger networks for real-time analysis of greenhouse gas
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interpreted. We are expanding our research group working on image-based methods for large‑scale biodiversity monitoring and invite applications from candidates eager to push the boundaries of automated