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core of our platform. We want candidates with strong backgrounds in: Machine Learning & Optimization: Practical expertise in Gaussian Processes and Bayesian Optimization (BO). Experience with custom
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bonding rigid structures such as ASICs onto flexible polyimide-based thin-film devices. The candidate will contribute both to the development and optimization of bonding approaches for ASIC-integrated thin
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valuable insights to help optimize device performance. Additionally, you will support collaborators by assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy
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and responsibilities: Testing of the microscope's components to assure full functionality. Installation of the system. Adapting the control electronics and software for optimizing user-friendly
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community. Main Tasks and responsibilities: Collaborate with theoretical and experimental partners to design and characterize optimized altermagnetic devices for information processing. Fabricate nanodevices
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. Working closely with partners in the IMPRESS project, you will analyse their materials and provide valuable insights to help optimize device performance. Additionally, you will support collaborators by
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, optimize, and document acquisition protocols for reproducibility and scalability; stay updated with the latest developments in microscopy automation and scientific instrumentation. Requirements: · Education
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for Accelerated Materials Innovation, which aims to transform the discovery and optimization of high-performance functional materials through a fully integrated, interpretable AI platform. MAIAMI aims to establish
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of materials under conditions that mimic actual operating environments. Working closely with partners in the IMPRESS project, you will analyze their materials and provide valuable insights to help optimize