98 algorithm-development-"Multiple"-"Prof"-"Prof"-"St"-"Simons-Foundation" positions at Aarhus University in Denmark
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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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the development of scalable AI prototypes while forging new algorithmic paths in generative AI for the natural sciences, empowering researchers to tackle complex, data-intensive challenges in uncharted territory
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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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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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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
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feedback and translate it into concrete recommendations and improvements. Collect data from CORC event participants and speakers Develop the CORC event experience Capable of handling multiple priorities and
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assessments and modelling of food web dynamics and disease screening. This position provides a unique opportunity to contribute to our understanding of how multiple stressors including climate change