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work. A model is to be developed to estimate the material mass breakdown for various cell designs and cell formats. The model will be validated from teardown analysis of commercial lithium-ion battery
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the intersection of control theory, robotics, artificial intelligence, and signal processing, and is a key enabler of future intelligent infrastructure.This project will focus on the development of novel control
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to include shipping pressures and impacts in marine environmental management and spatial planning. Research environment Our research aims at supporting sustainable development of the maritime shipping sector
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, localization, and sensing, with a focus on developing next-generation multiple-antenna systems while optimizing overall system performance. As a doctoral student, you devote most of your time to doctoral studies
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Team lead by NASA/JPL (https://costar.jpl.nasa.gov/ ). Subject description Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy
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at the Division of Fluid Dynamics, within the Department of Mechanics and Maritime Sciences at Chalmers. The project is carried out in collaboration with Vattenfall Research and Development, and is part of
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on the development of self-sensing fiber-reinforced cementitious composites (SS-FRCMs) for the dual purpose of structural strengthening and real-time health monitoring of infrastructure. The research is structured
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research consortium based at Umeå University and Karolinska Institutet. The PhD position offers you the opportunity to develop into an independent researcher who plans and performs experiments, interprets
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changing environment will affect the stability of quick clays, and the probability of triggering catastrophic failures. We offer access to unique experimental facilities and computational tools developed by
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for a PhD student focusing on future fuels and propulsion systems for the maritime sector. This is an opportunity for you to contribute to the development of techno-economic and environmental assessment