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and organoid platforms, genome engineering technologies, advanced microscopy, spectral flow cytometry, single-cell and spatial genomics, proteomics and biomarker laboratories, and high-performance
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fellow will work with Dr. Yi Li and his research group to develop innovative statistical and computational methods for large-scale, high-dimensional, and complex biomedical data. Research topics include
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areas of environmental change, remote sensing, infectious disease surveillance, spatial epidemiology, machine learning and global health. Key responsibilities: - Conduct high quality research in
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objectives, as well as the publication of high-impact journal articles that enhance the international standing of the University. We are looking for a Research Fellow to develop and perform advanced seismic
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public health nutrition, including nutritional epidemiology, population-based dietary interventions, nutrition promotion, and food and nutrition policy. Publish high-quality research, pursue external
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on nonequilibrium dynamics, dissipative state preparation, and quantum algorithms for molecular systems, producing quality research outputs in high-quality outlets; Work with academic and industry partners to develop
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with the overall programme. This implies perform and support in vivo work using HCC models induced via hydrodynamic gene transfer. You will be selecting and adapting experimental protocols, analysing and
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materials enable sustainable approaches to energy harvesting, neuromorphic computing, and biosensing, with demonstrated potential for high-impact studies (Nature 578:550; Nature Communications 13:4369; Nature
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with engineered heat and light–matter interactions, including but not limited to thermal metamaterials, thermal crystals, topological photonic structures, non-Hermitian photonic lattices, thermal
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modalities, including: Single Base Substitutions (SBS) Insertions and Deletions (Indels) Structural Variants (SVs) Copy Number Alterations (CNAs) Other genome instability features. Perform mutational signature