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RNA-sequencing; high resolution imaging using spinning disk confocal microscopy; fluorescence image processing; single-cell data analysis. What do we offer? A creative and inspiring environment full
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Are you passionate about pushing the frontiers of machine learning, computer vision, and their applications in medical imaging? Join the Computer Vision Group as a PhD student specializing in deep
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. Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in python, GPU programming, mathematical modeling and
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and self-supervised learning. The research group The Computer Vision Group conducts research in the field of automatic image interpretation and perceptual scene understanding. The group targets both
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of machine learning and 3D computer vision. As a candidate, you'll have the chance to develop theoretical concepts and innovative methodologies while contributing to real-world imaging applications. Moreover
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) at KTH. The position will be based at KTH in Stockholm, Sweden. Accountabilities As part of this role, you will be responsible for integrating multiple types of data, mainly histopathology digital images
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Mälardalen University (MDU) is the youngest university in Sweden. In line with our vision, to be a progressive and collaborative University where we shape a sustainable future together, we wish
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(equivariant networks). Examples of such symmetries are symmetries towards rotations of point clouds, translations of images or permutations of nodes in graphs. Combining the geometric/algebraic theory of (group
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strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging techniques, electronic healthcare data, longitudinal patient and population registries and biobanks. MS is a lifelong
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electrophysiological recordings or calcium imaging of neuronal activity. Optogenetics and tracing of neuronal networks are other central technologies. For more information see: https://ki.se/en/neuro/carlenlab