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project brings together PhD students and senior researchers from multiple disciplines to tackle challenges in sustainable aluminium. The aim of RAM3 project is to enable the broad application of recycled
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Project descriptionAutonomous systems are intelligent agents—such as robots, vehicles, or drones—that can sense their environment, make decisions, and act independently. When multiple such agents
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on forests and forestry as complex socio-ecological systems. We closely collaborate with multiple stakeholders and conduct applied research in silviculture, forest ecology, pathology, policy and planning. We
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research in system and circuit design for next generation wideband radio frontends. The position allows access to fabrication in multiple semiconductor technologies provided by international partners inside
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monitoring. These applications rely on remote sensors to capture PCs and wirelessly transmit them to edge servers for downstream tasks, such as registration, i.e., aligning multiple PCs within the same 3D
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sampling, forest mathematical statistics and landscape studies. The department is also responsible for the implementation of the ongoing environmental monitoring programs the National Forest Inventory
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inclusive research environment with friendly atmosphere and cutting-edge research and education in multiple areas. About the research project In collaboration with manufacturers, a team of researchers in
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the Laboratory for Molecular Infection Medicine Sweden (MIMS), and have the chance to use the multiple facilities (e.g., NMR, metabolomics, protein expression, cryoEM) for a successful PhD. In
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information about us, please visit: the Department of Biochemistry and Biophysics . About the DDLS PhD student program Data-driven life science (DDLS) uses data, computational methods and artificial
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of Chemistry and Biomedical Science, one of five departments within the Faculty of Health and Life Sciences. Our department plays a pivotal role in shaping BSc programs in biology, biomedical analysis, health