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) for analyzing large data sets Place of work: Umeå Forms for funding or employment: Employment as PhD student (4 years of education) Starting date: The preferred starting date is 1 May 2026, but flexible according
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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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layers, using transport and optical techniques to measure the relevant properties. They will have the opportunity to work with two large-scale facilities which the research division is responsible
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genetics and data from real-world forestry to better 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
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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 the North Sea maritime infrastructure through AI-enabled, human-centered, and data-driven cyber-physical threat intelligence. This large interdisciplinary project builds on insights from network
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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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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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12 Dec 2025 Job Information Organisation/Company UNIVERSIDAD DE LAS PALMAS DE GRAN CANARIA Research Field Engineering » Mechanical engineering Engineering » Materials engineering Researcher Profile