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, chromatin profiling, genomics, spatial transcriptomics and single-cell data. Apply statistical, machine learning, and network-based approaches to analyze high-dimensional biological data. Collaborate closely
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generation of accessible and expressive digital musical instruments. You will design, develop, and evaluate novel music and human-computer interaction technologies that combine wearable motion capture
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. The projects focus on learning from bats with exceptional healthy longevity to develop bat-inspired new targets and strategies to fight human diseases and aging, and have multiple national and international
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quantitative genetics, Bayesian methods, machine learning, large-scale genomic datasets, single-cell omics or integrative omics analyses would be highly regarded if the candidate was not initially trained in
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new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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of solid-state materials, with experience in density functional theory (DFT) and/or machine learning interatomic potentials. We welcome applicants with a broad range of research interests and experiences who
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focused on precision lung cancer prevention and early detection, with an emphasis on risk prediction modelling using artificial intelligence and machine learning. Major duties and responsibilities include
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. Specific topics of focus include, but are not limited to, linear response, statistical limit laws, random and nonautonomous dynamical systems, spectral analysis, machine learning, data-driven dynamics
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. Develop AI, machine learning, optimisation, and decision-support algorithms. Build digital twin environments, physics-based modelling, concept evaluation frameworks, and technical risk assessments. Develop
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State Key Laboratory of Ultra-Precision Machining Technology Postdoctoral Fellow / Research Associate / Research Assistant / Part-time Research Assistant (Ref. 260914003) (1) Postdoctoral Fellow