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by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly
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quantum electrodynamics/quantum field theory Lead papers and publish in high-impact journals Present at top-tier international conferences. Assist PI in writing grants and supervision of graduate and
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by ARPES, pursue scalable wafer-scale moiré epitaxy, develop epitaxial superconductors for quantum computing and integrate machine learning for automated high-throughput MBE. We are particularly
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manipulating omics datasets, including spatial transcriptomics, RNA-seq, and single-cell RNA-seq. Familiar with high-performance computing (HPC) environment and possesses good computational biology skills
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photonics, quantum optics, or quantum information science. At least 2 years of relevant research experience with hands-on experimental work in integrated photonics, optical or quantum photonic systems
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(e.g., Python, Julia, Fortran, C++, MATLAB) and experience with high-performance computing environments Demonstrated publication record in reputable peer-reviewed journals Excellent written and oral
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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computational design and wet-lab validation to establish predictive structure–property relationships. Perform quantum chemical calculations (e.g., DFT/TD-DFT) to interpret electronic structure and excited-state
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(Ariane) core. The role is structured in two research phases, covering lightweight cryptography (ASCON) and Post-Quantum Cryptography (PQC), and will contribute to high-impact scholarly publications and
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programming skills (e.g., Python, Julia, Fortran, C++, MATLAB) and experience with high-performance computing environments Demonstrated publication record in reputable peer-reviewed journals Excellent written