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multimodal image database integrating structural and biomechanical imaging of the pelvic floor muscles for improved assessment of birth injuries. Develop deep learning based image processing for pelvic floor
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-rich sequences. These intricate structures are thought to function as critical protein-binding sites, influencing essential processes such as transcription, replication, telomere stability, and DNA
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, this combines expertise in electroactive polymers, chemistry, microfluidics, neurobiology, microbiology, physiology, pathology and intravital imaging. Other areas of research include renewable
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complementary cytosine-rich sequences. These intricate structures are thought to function as critical protein-binding sites, influencing essential processes such as transcription, replication, telomere stability
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advanced imaging, electrophysiology, and molecular techniques. Division The Department of Neuroscience at Karolinska Institute is internationally recognized for its excellence in neurobiology research, with
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Analysis, Image Analysis, Machine Learning and Computer Vision, as well as Mathematical Statistics, Probability Theory, and Mathematics Education. The degree courses lead to bachelor, master, and PhD degrees
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to analyze histopathology images, clinical and molecular data. Computer vision and deep learning techniques are central in our research projects aimed at improving cancer patient risk stratification. As a
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of the external world (embodied cognition), and how it forms the basis for conscious self-awareness. Our laboratory specializes in functional magnetic resonance imaging (fMRI), electroencephalography (EEG
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candidate will be expected to advance our recently established DESI-MRM mass spectrometry imaging method (see PMID:39460704). Applicants will also be involved in development of our multi-modal imaging
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generation of ultrasound imaging and sensing solutions. The funding of this scholarship and project is provided by the Kempe foundations.Subject descriptionThe subject includes signal processing with emphasis