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We are currently offering a PhD student position focused on developing new methods for molecular engineering that leverage live-cell imaging data and artificial intelligence (AI). The position is a
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is, however, the transportation and storage. Current methods rely on liquid compressed hydrogen, which requires high pressures or low temperatures. This project will computationally explore catalyst
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, Time-Resolved Imaging and Multi-Channel Evaluation of Cellular Dynamics (TIMED) . This project is a 5-year collaboration between researchers at Chalmers University of Technology, Uppsala University, and
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thermal conductivity b) Development of hBN thermal interface material that combines a high degree of compressibility and recovery c) Modeling, simulation and characterization of phonon transfer across
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analysed using advanced optical techniques such as: High-speed imaging Laser-induced fluorescence Particle image velocimetry Experimental and numerical results will be evaluated and compared to refine both
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of existing structures. However, despite major research efforts, the effect of cracks on durability is still debated. Ongoing long-term tests will be combined with accelerated testing methods. X-ray imaging is