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: Postdoctoral Position Location: Taipei, Taipei, Taiwan Subject Areas: Physics / Atomic Molecular and Optical Physics , Cold Atom Physics , Condensed Matter Physics , Machine Learning , Quantum Computing
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] Subject Areas: Physics / Hard Condensed Matter Theory , Machine Learning , Material Science , Physics , Quantum Information Science , Soft Condensed Matter Theory , theoretical condensed matter physics
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. Research Themes and Projects: We are an interdisciplinary research team integrating single-cell and spatial genomics, lineage tracing, synaptic proteomics, functional perturbation screening, and machine
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field. Proven experience in multi-omics data integration, omics data analysis (genomics, transcriptomics, proteomics, metabolomics, microbiome). Strong expertise in machine learning, deep learning, and
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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. Job description: - first-principle modeling and simulations of electrolytes - development of new machine learning strategies and quantum simulation approaches - application of specially developed
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their approach to fostering learning, research, service, and outreach in a diverse community. Applicants may choose to submit a stand-alone statement or embed the information in other parts of their application
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Summary This position will provide technical support to data management plan development, data management, and assist Post-Doctoral Fellows with the development of machine learning methods. Organizational
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, so you should be motivated to work in the lab, eager to learn new techniques, and able to take initiative. You should also be organized and capable of working independently as well as collaboratively
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engineering, materials science and engineering, or computer science and engineering. The postdoctoral fellow is expected to actively work with more than one CQISE faculty member at OSU to strengthen