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, data analysis, and dissemination of research findings. The project combines perspectives from systemic innovation, integrated care, and health economics. The PhD student will collaborate closely with
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sensor data, and (iii) sophisticated fatigue analysis models combining advanced fracture mechanics with crack initiation and growth simulation. Additionally, you will explore fatigue mitigation strategies
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We are looking to explore the evolution of the carbon cycle over geologic time using Raman Spectroscopy as the primary tool. Work will entail detailed Raman analysis of carbon particles in ancient
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will include: Performing in-depth analyses of mass spectrometry-based proteomics data Leading data analysis across diverse projects, including: Large-scale cardiac tissue proteomics from patient cohorts
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colleagues in the group and external partners in Denmark and abroad. You will work with the design and execution of research studies, the analysis and interpretation of data, and the dissemination of results
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workflows for infectious disease surveillance and outbreak analysis. AI methods that support scientists and public health users while preserving data control, transparency, and responsible use. The successful
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analysis experience in analyzing and interpreting different types of ecological data skill in the creation and implementation of data management plans, as well as knowledge of different metadata standards
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collaboration across organizational and national boundaries. The project combines in-depth qualitative fieldwork across the four Nordic transmission system operators with comparative analysis, contributing
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AI and computer vision. Who we are You will be employed at the Department of Architecture, Design and Media Technology at Aalborg University and anchored in the Visual Analysis and Perception Lab
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Stochastics. The positions have 1st January 2027 as earliest possible start dates. You can find more information about the postdoc positions available in the areas listed here: https://math.au.dk/en/about