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models using advanced operator learning and physics-informed AI techniques, leveraging high-resolution X-ray imaging data and high-performance computing (HPC) resources. The position offers a unique
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development for imaging liquids and solid–liquid systems at the nanoscale. Collaborate with researchers at Chalmers and beyond, and share knowledge with the wider microscopy community. Publish and present your
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include: Full CV, including full publication list (highlight crystal growth experience, add images of grown crystals where relevant) contact information for two references Personal letter of 1 page, where
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scale. Characterization of ash interactions with products. Imaging and determination of chemical composition with SEM-EDX. Advanced image analysis for quantification of porosity. Multicomponent chemical
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with characterization techniques (such as optical & scanning electron microscopy, image analysis, microhardness measurement etc.) Some of the experiments are expected to be conducted in close
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: The position demands a technical background in and skills related to: Detailed characterization of materials (morphology and microstructure by optical & scanning electron microscopy, image analysis
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techniques • Explainable AI/ML using visualization • AI/ML-empowered visual analytics of multivariate networks (network embeddings, …) • Large Language Model (LLM)-assisted visual analytics of text, images
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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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the development of hyperspectral 3D electric field imaging techniques in the THz spectral range, utilizing ultrashort lasers and nonlinear optical methods. The work will be conducted at KTH Laser Lab research
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world-leading research environment through the development of paradigm-shifting knowledge about bio-based wood adhesives in three research areas: raw materials and formulations, aspects of adhesives, as