33 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UNIS" research jobs at Aarhus University in Denmark
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Research Focus We are offering a Postdoctoral position in graph machine learning, algorithms, and graph management with particular focus on: Modeling real-world spatio-temporal energy networks Developing
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fellow will conduct research on Algorithmic Verification of Concurrent Systems within the Programming Languages, Logic, and Software Security Research Group at Aarhus University. The focus of the position
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of cutting-edge technologies. You will be part of the Power-to-X project E-CH4 Booster, which targets the development and upscaling of bioreactors for conversion of CO2 into green methane. The project is an
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change in archaeology and its impact on the lived life of past communities and individuals by tracking down milestones in the development of the burial site of Lindholm Høje, Denmark, throughout the first
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environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
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intelligent control and aerial robotics for navigation in uncertain environment. You will be mainly responsible for implementation of machine-learning algorithms for unmanned aerial vehicles; validation
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Monitoring and Conservation Genetics. Expected start date and duration of employment This is a 2–year position from 1 February 2026 or as soon possible. Job description The position will focus on developing
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. Experience with phase retrieval algorithms, clean room use and e-beam lithography are beneficial. The candidate will be expected to participate at international user facilities and thus will be expected
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the way they orchestrate multiple voices and create coherence in texts – all of which are pivotal for literacy learning. Besides much-needed empirical insights, we expect to enrich the theoretical concepts
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communication capabilities for real-time monitoring of critical infrastructure. A key application area will be smart grid powerline monitoring, where you will work on: Designing and leading the development of low