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Field
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variety of academic backgrounds, including but not limited to: Computer science (e.g. in AI/ML, systems, HCI, security, privacy) Law (data protection, tech regulation, digital rights) Public policy or other
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and neural computation. By leveraging the rich data repository on the larva’s neural connectome and muscular structure, the project seeks to create accurate simulations that can inform biological
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management to save many endangered species from extinction. This project will conduct state-of-the-art multidimensional projection modelling to project the impact of climate change and age structure
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important research area is to understand on how to design and assemble power electronics converters to make a step change on their performance. In this PhD project, we will investigate an approach to embed
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and transfer of science to society. As a modern employer, it offers attractive working conditions to all employees in teaching, research, technology and administration. The goal is to promote and
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build the sustainable companies and societies of the future. The Robotics and Artificial Intelligence (RAI) (www.ltu.se/robotics ) subject at the department of Computer Science and Electrical and Space
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build the sustainable companies and societies of the future. The EISLAB division of the Department of Computer Science, Electrical and Space Engineering conducts research within Cyber-Physical Systems
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systems such as fuel cells and batteries. Intelligent control and management systems will be designed to enhance efficiency, sustainability, and seamless integration. Developed models and strategies will be
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build the sustainable companies and societies of the future. The EISLAB division of the Department of Computer Science, Electrical and Space Engineering conducts research within Cyber-Physical Systems
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transparency and explainability of AI decisions is equally important, requiring innovative methods to build trust among stakeholders and ensure compliance with stringent industry standards. Additionally