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well as abroad. Your primary tasks will be to: Using automotive lidars for detection of wind turbine blade deflection Development of efficient ways to analyze the automotive lidar data Develop the technology to
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create multi-fidelity predictive models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train
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of the deadline for applications, the authorized recruitment manager selects applicants for assessment on the advice of the Interview Committee. Further information For further information please contact Gemma
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University with related departments. Contact information For further information, please contact: Professor, Duncan Sutherland, +45 23385789, duncan@inano.au.dk. Application procedure Shortlisting is used
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candidate is expected to contribute to the overall objectives of the project by being involved in the project management, data collection, and data analysis. The candidate is also expected to contribute
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community, and highly livable with a green-banked meandering river cutting through the center, and attractive residential areas. For further information about the position, please contact the Head of Digital
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candidates, the committee can only be expected to look into individual scientific results amongst those contained in publications submitted with the application. Contact information The relevant person
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expected to look into individual scientific results amongst those contained in publications submitted with the application. Contact information The relevant person to contact is listed in each position
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computer architecture. Responsibilities and qualifications You are expected to conduct independent research in collaboration with and under the guidance of experienced colleagues. Additionally, you will be
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
system with an open source data structure. The setup is ready for developmed of digital twins to improve and scale the technology to offer the world a new pathway to sustainable proteins. In a