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soil deposits. This includes development and applications of methods for exploration and investigation of natural resources such as mineral deposits and water, as well as investigation of environmental
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–electronic materials, and soft electronics to explore new approaches to thermal energy conversion. The project spans fundamental materials and transport phenomena, advanced functional materials, and deformable
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thermoelectrics, electrochemistry, mixed ionic–electronic materials, and soft electronics to explore new approaches to thermal energy conversion. The project spans fundamental materials and transport phenomena
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building physics, especially focusing on the Arctic conditions. Project description This research explores how mining waste, such as tailings and waste rock, can be reused rather than sent to landfill
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Chemistry. The thesis project will focus on exploring how proteins move, react, and function. The position is for four years of doctoral studies, including participation in research and postgraduate courses
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, recycling and reuse, and applied building physics, especially focusing on the Arctic conditions. Project description This research explores how mining waste, such as tailings and waste rock, can be reused
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and Power) (phase 2). CESTAP is jointly funded by the Swedish Energy Agency, academic partners, and industry. This specific project will focus on exploring various potential roles of sustainable forest
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 2 days ago
, MRI, optional tau-PET and clinical and neuropsychological assessments. The PhD project will, in collaboration with other lab members and research groups, (I) explore the cross-sectional and longitudinal
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The project will create spatiotemporal polaritons through ultrafast light–matter interactions in engineered metamaterial systems. The doctoral candidate will explore wide-bandgap semiconductors and high-quality
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exploring during your PhD. Your workplace You will be employed in the research group led by Associate Professor Wen Zhong , fellow in the Swedish national program for Data-Driven Life Science (DDLS