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learning methods for medical image analysis, with a particular focus in anomaly detection and unsupervised learning. In this position, you will have the chance to explore basic machine learning research as
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At the Faculty of Medicine, Department of Health Science and Technology, one or more PhD stipends in Unsupervised Learning for Medical Image Analysis are available for appointment from November 1
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numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific computing environment. A fundamental
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-driven modelling. Experience with numerical modelling, simulation, optimization, control, or engineering-data analysis. Good programming skills in Python, MATLAB/Simulink, or a comparable scientific
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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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Learning and data analysis and are motivated to apply these skills to complex materials and production systems. You are familiar with polymer materials and processing, and you have knowledge of techniques
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onwards. Through a combination of history of emotions, educational history, historical ethnography, and policy analysis, the project explores how students' discomfort with, resistance to, and disengagement
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PhD position in environmental toxicology and endocrine disruption: Focus on new endpoints in zebr...
) in the EU), will be compared to later protected life-stages. Methods include detailed organ histopathology, advanced imaging and spectroscopy, gene expression profiling, behavioral analysis
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At the Faculty of Medicine, Department of Clinical Medicine, Aalborg University, a PhD stipend in genetic analysis and cardiovascular disease is available for appointment from October 1, 2026
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advanced analytical approaches, including deep learning and machine learning, to improve disease subtyping and risk prediction. You should have a strong willingness to learn, enjoy tackling challenging