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the discovery and optimization of high-performance functional materials through a fully integrated, interpretable AI platform. MAIAMI aims to establish a paradigm shift in materials science by embedding
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(including AFM, PFM); imaging of magnetic domains (MFM); analysis of bit states for probabilistic computing (Shannon entropy, bit error rate, unclonable functions, etc.); analysis of surfaces (XPS); experience
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assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields. Part of the project will also include the development of deep learning frameworks for TEM image
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initiative where appropriate, and be proactive in approach to work Desirable Knowledge, Skills and Experience: · Experience with cryo-electron and confocal microscopy. · Experience with Image analysis software