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, Sweden. The student will form a part of a new NEST initiative funded by the Wallenberg Initiative Materials Science for Sustainability (WISE) and the Wallenberg AI, Autonomous Systems and Software Program
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funded by the Wallenberg National Program for Data-Driven Life Science (DDLS) and the Wallenberg AI, Autonomous Systems and Software Program (WASP). The NEST project, Time-Resolved Imaging and Multi
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of the world’s most sustainable and livable cities. The PhD student will join Panahi’s research group at the Data Science and AI division, CSE department, Chalmers. The goal of this group is to bring together
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circularity of on-site construction processes), or business, management or social science with experience in working in the construction sector. Excellent verbal and written communication skills in English
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the Swedish National Infrastructure for Computing (SNIC) and the Chalmers Centre for Computational Science and Engineering (C3SE). Learn more about the project and the research: Project overview Due
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Physics, Chemistry, or Materials Science. A strong background in quantum mechanics, thermodynamics, and statistical mechanics. Documented experience in programming. A strong interest in atomistic modeling
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scientific journals and presenting at conferences You will receive support from both academic supervisors and industrial partners throughout the project. Approximately 20% of your time will be allocated
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buildings, within a cross-disciplinary environment spanning architectural design, digital technologies and biomaterials science. PhD project summary The PhD student will join our cross-disciplinary research
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project activities while developing your own scientific concepts and perspectives on hydrological modelling, climate adaptation, road engineering, and urban planning. Communicating research findings through
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energy efficiency, in close collaboration with industry. The division is responsible for educating Naval Architects and Ocean Engineers within the international master's program Mobility Engineering at