34 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Plymouth" PhD positions at Aalborg University
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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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the movements and behavior of red deer in Vejlerne using advanced drone technology and AI-based data analysis. The work will include mapping reed bed dynamics and deer trails, comparing current patterns with
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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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and UUV to support autonomous coordination and mission execution. This includes using relative measurements, shared environmental representations, and synchronized data exchange to enable precise and
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leading the establishment of a centralized repository for genomic data and metadata, with a strong emphasis on existing and novel methods for the evaluation of genome quality, indexing and clustering
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at www.es.aau.dk. Your work tasks This PhD project is part of a bigger Novo Nordisk Foundation (NNF) New Exploratory Research and Discovery grant entitled: Information Theoretic Disentanglement of the Exceptional
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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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, 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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, 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
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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