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in Python and MATLAB, particularly in machine learning, data analysis, and image processing. Experience working in Linux environments. Ability to collaborate in interdisciplinary teams and work with
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including generation and characterization of viral barcode libraries; in vivo barcode delivery into the mouse brain; 3D intact-tissue RNA-sequencing; high resolution imaging using spinning disk confocal
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antibodies contribute to muscle pain and, if so, to elucidate the underlying mechanisms. This research will involve analyzing human samples, employing advanced imaging techniques, and utilizing in vivo models
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Gerken (Department of Mathematical Sciences) Project description In many deep learning applications ranging from medical image analysis to quantum chemistry, the symmetries of the underlying problem pose
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data streams offered by techniques such as high-throughput sequencing of genomes and biomes, continuous recording of video and audio in the wild, high-throughput imaging of biological specimens, and
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clinical departments and other national and international research groups. Our research aims at acquiring a comprehensive picture of breast cancer risk and prognosis using epidemiological studies combined
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clean-room facility Staining and advanced imaging techniques (e.g., confocal microscopy) Isolation of primary immune cells or culture of patient-derived cell components Antibody-based biochemical assays
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doctoral student project and the duties of the doctoral student This project is financed by a an ERC Advanced Grant to Björn Högberg with the aim to generate images of RNA distributions in tissue using
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support. This research project focuses on the functional structure of X-ray detectors based on organic frameworks with heavy atoms, with applications in diagnostics, including medical imaging. The fine
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PhD project in ELLIIT , Linköping University. Your work assignments The selected candidate will conduct cutting-edge research on unconventional array antenna systems for imaging MIMO radar in