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experiments, integrating experimental data collected during loaded magnetic resonance imaging scans of the human knee joint with the ex vivo findings. By working with in vivo models, you will contribute
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at the University. Youmayobtainfurther professional information from Associate Professor Jakob Zinck Thellufsen, +45 9356 2359, jakobzt@plan.aau.dk. Youcanread more on TECH as a workplacehere Youcanread more on
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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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to contact us. For professional information, please contact Associate Professor Florin Iov, fi@energy.aau.dk , +459940 9266 . Further information Read more about our recruitment process here The appointment
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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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are in part funded by a DFF: Sapere Aude project (“Building TRUST in Text: Linguistically Motivated Language Model Detection”) and an NNF: Ascending Data Science Investigator project (“LM2-SEC
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challenges at the intersection of AI and cybersecurity, aiming to enhance model integrity, data privacy, and resilience to adversarial attacks. The research will explore methods to secure AI systems in real
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nexus supported by data-driven methods. This is a full-time position, expected to start on 1st of February 2026 or as soon as possible thereafter. This position is a six-year position as an assistant
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to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non
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professional information from Associate Professor Kristian Olesen, Research Group of Planning for Urban Sustainability, 99407211, kristian@plan.aau.dk. Qualification requirements Appointment as assistant