31 algorithm-development-"Multiple"-"Prof"-"UNIS"-"DIFFER" positions at Aarhus University
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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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the following area: The more details can be kindly found as below: Industrial AI Algorithm and Autonomous Decision-Making Systems RESPONSIBILITIES Research and develop autonomous decision-making algorithms
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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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to support researchers by developing, maintaining, and accessing IT infrastructure for research projects. Specifically, we are looking for full-stack (front- and back-end) developers and security enthusiasts
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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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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
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the department have established companies to develop new medicinal treatments founded in professional scientific basic research. You can read more about the department here and about the faculty here . About the
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funding affect the subsequent performance of firms and scientists, in terms of outputs such as the number of papers, products, patents, etc. (Can an optimal applicant template be developed by training