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: Postdoctoral Position Location: Taipei, Taipei, Taiwan Subject Areas: Physics / Computational Materials Sciences , Condensed Matter Physics , Condensed Matter Theory , materials-related physics Appl Deadline
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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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by beam (e.g. laser light, electrons) and plasma induced processing. LAMP provides full cycle technology development, starting from novel materials, deep understanding of the background physics of beam
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general material synthesis methodologies. Candidate Profile: Hold a Ph.D. in Chemical Engineering, Process Engineering, Materials Science, or a related field. Strong experience in separation sciences
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of concepts from quantum information to quantum materials; algorithmic aspects of quantum computing; topological aspects of magnetism; connections between condensed matter and high-energy physics
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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Obituaries Awards beyond EMA Materials 2023 survey Commitments Young EMA EMA Awards Technical sponsorship Gender and Diversity Sustanaibility Industrial Relations Research Assessment ESM Presentation Scope All
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, FactSage) to simulate vanadium phase behavior and guide process improvements. Performing advanced characterization of vanadium-bearing materials to understand their transformation and recovery mechanisms
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focus on the newly-discovered physical and chemical properties that arise from the behaviour of matter at the nanoscale. ICN2 has been awarded with the Severo Ochoa Center of Excellence distinction
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guiding the development of advanced impact-resistant materials. The main purpose of this role is to develop multi-physics computational models and reveal liquid-solid impact damage mechanisms. The post will