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quantum sensors, leveraging state-of-the-art electron microscopy facilities at the Condensed Matter Physics and Materials Science Department (CMPMS) and the Center for Functional Nanomaterials (CFN
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classes and their roles in scientific applications, such as deep neural networks (DNNs), convolutional neural networks (CNNs), transformer models, and graph-based neural networks. Familiarity with software
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communicate effectively with colleagues focused on other theoretical techniques. Preferred Knowledge, Skills, and Abilities: *Numerical expertise in tensor networks and matrix product states OR analytical field
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, sustainable and resilient net-zero society. The postdoctoral position will conduct research on state-of-art AI models with the specific goal to improve geospatial imagery analysis Essential Duties and
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not mandatory, expertise in quantum platform software such as Qiskit or cuda-q. *Numerical expertise with classical simulations of quantum circuits, including tensor-network based approaches
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, including tensor-network based approaches. Application Instructions: Candidates are required to submit a Resume or CV and a Research Statement, not to exceed 3 pages in length. Please upload all documents
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expertise in tensor networks and matrix product states OR analytical field-theoretic expertise. Familiarity with topological phases of matter and their classification. Some experience with quantum