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on the analysis of Partial Differential Equations. The position covers four years of third-cycle studies, including participation in research and third-cycle courses. The last day to apply is May 30, 2025. Project
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-slu/work-at-slu/ Project about host plant repertoire of Tropical butterfly caterpillars Description: A PhD position is available in Mariana Braga's group at the Swedish University of Agricultural
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interdisciplinary backgrounds and expertise to foster cutting-edge research with high clinical relevance. Project Description Imaging methods such as magnetic resonance imaging (MRI), computed tomography (CT), and
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for Quantum Technology (WACQT, http://wacqt.se ). The core project of the centre is to build a quantum computer based on superconducting circuits. You will be part of the Quantum Computing group in the Quantum
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Chemistry. The thesis project will focus on regulation of calcium signalling processes with applications in drug development directed towards heart failure and antimicrobial resistance. The position is for
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to one of the department’s research projects. One of the current projects lead by Marie Wiberg is “Innovative statistical methods for standardized achievement tests to ensure comparability and fairness
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multisite research project that investigates the possibilities and implications of AI-enabled conversational guides on visitors’ learning and experiences in public educational environments. The Department
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in building sector (adaptation, recycling and reusing of materials), mapping projects and case studies connected to the adaptation, reusing and recycling of building materials in Sweden, and to
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://www.umu.se/en/department-of-computing-science/ Project description In modern software systems and the organizations that run them, a substantial part of day-to-day decisions with critical impact on individual
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application! Your work assignments Our research projects focus on distributed sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine learning