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(i) Geometry and computer vision (including analysis of video, audio, radio, and radar signals), (ii) Medical image analysis, and (iii) Machine learning/artificial intelligence. The group boasts
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, analysis of EV preparations, in vivo and in vitro modeling for testing of EV distribution and activity, etc. The Lab also has an access to the cutting-edge imaging, mass-spectrometry and sequencing
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, as well as data processing and theoretical work related to modelling. Documented experience of working with MR images for optimization of image acquisition, practical MR scanning, preprocessing and
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environment. The student will investigate the properties of fluorescent probes and how we can use them to develop advanced imaging strategies for the study of cellular processes. The project will focus
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the consideration of modern hardware accelerators such as GPUs. Application to relevant test cases stemming from X-ray multi-projection imaging experiments at MAX IV and other facilities is planned. (Contact: Robert
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-driven precision medicine and diagnostics. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from
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gathers a unique combination of expertise in computerized image processing, human computer interaction, and computing education. SciLifeLab BIIF is administratively placed here, and offers education and
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diseases and cancer. To analyse the experiments we need sophisticated mathematical tools in each step of the analysis process, from image analysis to bioinformatics. Major responsibilities The person is
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ionizing and non-ionizing radiation, and its use mainly in medical applications. The major areas are magnetic resonance imaging (MRI), radiation therapy, X-ray physics, and nuclear medicine. The MR physics
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imaging experiments at MAX IV and other facilities is planned. (Contact: Robert Klöfkorn) Area 2: Gaussian process approximation for partial differential equations This project is positioned