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and progresses? In this PhD project, you will use innovative data analysis approaches and unique, deeply phenotyped cohorts to investigate the complex relationship between dietary factors, metabolic
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of battery cells, as well as electrochemical testing and spectroscopic materials analysis (primarily X-ray photoelectron spectroscopy, XPS). The project is carried out in close international collaboration, and
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detection, real-time data analysis and/or predictive modelling, particularly for dynamic and safety-critical environments. Interest in AI sustainability, including resource efficiency, scalability
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advantages) research experience in psychometric analysis research or practical experience in clinical or forensic psychology prior publications and/or conference presentations For admission to the doctoral
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neuroimaging research and clinical neuroscience is necessary. The project relies on advanced neuroimaging and data analysis, including MRI/fMRI processing and analysis, functional connectivity methods
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
positions for general criteria for the position. Preferred selection criteria Experience in solid mechanics and non-linear finite element analysis. Experience in optical measurements related to experimental
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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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integration of a sensor system in the structure and the analysis of measured signals, which are typically strongly affected by environmental and operational conditions. This project aims to tackle
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than a particular answer. A software application or data analysis project that you are proud of: what it does, what was challenging about it, and what your own contribution was. This may be a personal
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conditions, by bridging disciplines, from artificial intelligence, microelectronics, neuroengineering and nanoscience, to single-cell, imaging and molecular analysis, functional genomics and cell biology in