272 estimation-methods "https:" "Computer Vision Center" Postdoctoral positions in Sweden
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. You will develop and apply machine-learning and AI-based methods for individual-level risk prediction and diagnostic classification, with a focus on disease-relevant neural signatures. In close
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technologies can be used to convert biomass into valuable products. We use advanced computational technologies to discover how biomolecules and organisms function and interact. We pioneer new methods
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and Engineering. About us You will join the Healthy AI Lab , a research group led by Associate Professor Fredrik Johansson , that develops machine learning methods and theory to improve data-driven
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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the computational capacity of traditional methods. Its capacity to execute highly complex computations at speeds beyond the reach of classical computing offers transformative potential for addressing real-time
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range of specialisms and methods, giving you ample opportunity to exchange knowledge and experience with the various scientific fields within medicine and health. It is the crossover collaborations, which
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are translated into methods, tools, prototypes and demonstrators for industrial as well as academic settings. The two-year position will provide good opportunities to acquire further qualifications, above all
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these plants. The post-doc is expected to build upon existing in-house tools and, where applicable, enhance them by means of AI (machine learning) and data-driven methods. These models are aimed to support
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, as well as strong knowledge of basic immunological methods. Practical experience and methodological expertise in immune repertoire sequencing (VDJ) and/or RNA sequencing (RNA-seq) are highly desirable
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cutting-edge methods, models and technologies in environmental science, quaternary sciences, bedrock geology, paleontology, physical geography, biodiversity and ecosystem science, remote sensing, Geographic