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, deep learning, and human computer interaction. Furthermore, this university is Sweden’s leading university in industrial collaboration. The Machine Learning (ML) subject at the department
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processes to human health and ecosystems. As part of SciLifeLab, a unique nation-wide infrastructure and research community that combines advanced life science technologies with data and AI expertise
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facilitated by the availability of a high-power axial-feed capable plasma spray system and a high velocity air-fuel facility. These lend a rare uniqueness and versatility to the group’s processing capabilities
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of the identified structures via stereolithographic, 3D printing and textile techniques like tufting, machine-based embroidery techniques or non-interlaced 3D pre-forming. Development of advanced imaging and
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on processing and analyzing large sets of medical brain imaging data. We have amassed large quantities of structural MRI (used to measure brain structure), diffusion MRI (used to measure brain connectivity) and
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velocity air-fuel (HVAF) facility lend a rare uniqueness and versatility to the group’s processing capabilities, which are further complemented by a range of allied equipment for process monitoring, coating
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processes to human health and ecosystems. As part of SciLifeLab , a unique nation-wide infrastructure and research community that combines advanced life science technologies with data and AI expertise
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. Your mission Understanding disease requires weaving together many layers of biological and clinical information. By fusing multimodal data including genomics, imaging, spatial omics, and patient records
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to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven
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fluid dynamics and vascular modeling in microenvironments Skills in data analysis and image processing (e.g., Python, R, ImageJ) Ability to mentor junior researchers and contribute to team leadership What