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of entrepreneurship, sociology, and rural development in an international and interdisciplinary research project. As our new PhD student, you will play a central role in: Collecting qualitative data from new and
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electrical energy storage systems; energy management systems. Experience with data processing, statistical analysis and machine learning techniques is an advantage. Knowledge with Mathworks suite, C/C++ and
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analysis, so computer vision experience is a requirement. Experience with large language models is a plus. Furthermore, as AI:Epertise is about deploying AI in the real world, we are looking for people with
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qualifications, prior experience of corrosion of electronics or similar topics is an advantage. A combination of knowledge in electronics, materials, corrosion, and reliability is preferred. Further information
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for the position. Do you have any questions? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information
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cardiometabolic diseases by integrating registry data, large-scale GWAS and other omics datasets, as well as data from human clinical trials. A subproject will be based on biobanked and newly collected human saliva
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, regardless of personal background and orientation, is encouraged to apply for the position. Contact Further information may be obtained from Professor Xiangyun Du, Director of the AAU UNESCO PBL Centre
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of the jobpost. Further information Read more about our recruitment process here. The assessment of candidates for the position will be carried out by qualified experts. Shortlisting will be applied. This means
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with leading Danish and European companies, as well as international academic partners. The AI4OR group addresses complex, high-impact problems requiring advanced modelling, data analysis, and
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, computationally efficient gas radiation models suitable for CFD implementation Perform accurate CFD simulations of green fuel combustion in a CVCC and validate the CFD by detailed experimental data to be provided