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for these architectures remains a key challenge. This project will explore how reconfigurable/spatial computing devices can be integrated into large-scale heterogeneous infrastructures, which include CPUs, GPUs, DPUs, and
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able to work with very large data and have the creativity and curiosity to work with network measures and statistics. You may also be an expert on grounded computational social science: combining large
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understand how trees grow and adapt. It is perfect for you who want to combine hands-on field sampling, lab-based DNA work and big-data analysis. WIFORCE Research School Do you want to contribute to the future
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive
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) advances in imaging techniques that fuel a more detailed understanding of the brain, 2) tools from artificial intelligence that enable building better computer simulations of the brain. The lab will leverage
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data (i.e., large-scale assessments from the LKK project ) (Study 1 & 2); qualitative analysis of child data collected with the mosaic method (Study 3); a mixed-method analysis of the caregiver-child
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of Experimental Medicine uses systems biological approaches incorporating a large variety of molecular data sets to gain a deeper understanding of the role of the microbiome in host health and disease and how it
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needed that addresses large and complex issues and develops new analytical tools. That’s why the WIFORCE Research School, part of the Wallenberg Initiatives in Forest Research (www.slu.se/en/wiforce
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workflows, turning geodata into new answer maps accordingly. We use knowledge graphs to model these transformations and apply AI methods to scale them up across large map repositories, enabling users
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offered provide access to challenging and interdisciplinary projects integrated into large national and European research consortia such as the DAPHNE (DAta for PHoton and Neutron Experiments) NFDI