107 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at Aalborg University in Denmark
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dynamic, crowded environments. As a PhD candidate, you will develop methods that combine data-driven autonomy with formal safety guarantees and validate them in real time through simulation and experimental
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, but also in other study programmes at the University. You may obtain further professional information from Associate Professor Iva Ridjan Skov, +45 9940 2950, iva@plan.aau.dk You can read more on TECH
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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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design and laboratory experimentation, you will first explore a broad range of sodium-oxide glass compositions using advanced computer models to predict how well ions can move through them. Based
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Department of Sustainability and Planning here You may obtain further professional information from Andrés Felipe Valderrama Pineda, afvp@plan.aau.dk. Qualification requirements Appointment as a research
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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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measurements and interpreting complex data using advanced post-processing techniques (e.g., Distribution of Relaxation Times or DRT). The postdoc will also contribute to the development of an experimental setup
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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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case studies with various types of data collection in a range of manufacturing companies. Thus, the PhD student needs to work with various types of quantitative and qualitative research methods
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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