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statistics, AI and machine learning methods, including demonstrated experience in analysing multiple global change drivers, e.g. land use intensity, climate change, nitrogen deposition. Proven capability
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learning or neural networks), etc. The experience could come from lithium-ion, lithium-ion capacitor, sodium-ion, or other battery technologies. You have solid skills in Matlab/Simulink simulation tool
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-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus on implementing
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. The work combines physics-based thermal design and process-level system simulation with high-fidelity computational fluid dynamics and fast reduced-order and machine-learning models, so that the final design
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partners to enhance social entrepreneurship education through the development and implementation of innovative digital learning tools. The chosen candidate will lead activities related to the development and
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data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus
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or co-teach advanced courses relevant for your research area. The Department of Mathematics, the city of Aarhus as well as Denmark can offer the successful candidate: a positive and international work
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-Scandinavian candidates, an effort to learn to read, write, and speak Danish is a requirement. Contact Further information on the position may be obtained from Professor Jan Værum Nørgaard, phone: +4550718795
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: Engaging partners in the co-creation of knowledge, learning and social change. Empowering our students to become reflective and responsible citizens who have the vision, the knowledge and the competences
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background and orientation, is encouraged to apply for the position. Aalborg University has a policy of parallel language use. International staff are encouraged, with support from the university, to learn