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Aarhus University, Department of Mathematics Position ID: MATHAU-PHD [#27889] Position Title: Position Type: Other Position Location: Aarhus, 8000, Denmark [map ] Subject Area: Mathematics Appl
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cooperative behaviors such as joint mapping, coordinated inspection, or adaptive navigation. Digital twin simulation and testing: Developing and using digital twin models to simulate the integrated sensor suite
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Moller Institute (MMMI) , at the University of Southern Denmark (SDU) , invites applications for a fully funded PhD position on the topic of automated mapping and identification of large structure
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of the BACKLASH: Social inequality and democratic sustainability in the green transition project funded by the Velux foundation. A core task of the project is to map subjective class position taking in
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qualifications. Possible topics are: The theory of ultrafast pump-probe experiments (e.g., time-resolved X-ray scattering and spectroscopy), simulations and data processing of actual ultrafast experiments, mapping
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experiments, mapping charge and energy transfer in molecular (and mesoscopic) systems, behavior of molecules in strong fields, dynamics of open quantum systems, and more. This project offers an excellent
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particular EEG responses, thereby mapping stimulus-response relationships in both space and time. Understanding these dynamic informational patterns is key to revealing how the brain tracks, processes, and
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of electrodes and to map electrolyte chemical composition in micrometer resolution, allowing validation of the model predictions. Validation and evaluation of the RFBs with optimized hierarchical electrodes. Job
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PhD fellowship at the Copenhagen Center for Glycocalyx Research at the Department of Cellular and Mo
and Molecular Medicine (ICMM) Information on the department can be found at: https://icmm.ku.dk/english/ The position We are seeking a highly motivated and enthusiastic PhD student with backgrounds in
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, vegetation mapping, and LiDAR-based ecology. We're looking for candidates with strong technical skills and ecological interest—people who want to use LiDAR, AI, and spatial modeling to advance our