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Field
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drug-discovery and small-molecule screening assays using keratinocyte and epithelial model systems. • Establish, optimize, and troubleshoot cellular, molecular, biochemical, and imaging-based
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of experimental datasets with modeling and simulation frameworks Dynamic simulation and digital twins for industrial chemical processes Process optimization and model-based decision support tools Development
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through proprioception. We develop widely-used open-source tools (e.g., DeepLabCut), train biomechanically realistic embodied agents (e.g., MuscleMimic, Kinesis, Arnold), and build AI-based models
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tissue-specific mutant mouse models to investigate the underlying mechanisms controlling muscle growth and metabolic flux. The projects are multidisciplinary with excellent opportunities for advanced
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electronics, solid-state transformers, magnetics, data-driven and AI-based energy management, and electric grid resilience. Investigate communication networks, control architectures, edge devices, and edge
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digital twins for industrial chemical processes Process optimization and model-based decision support tools Development of computational tools for process monitoring and predictive analysis Candidate
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a result, the translocated oncogenes are placed under the control of IGH enhancers (Eµ, 3’RR1 and 3’RR2) which drive their expression and lymphomagenesis. In our previous study we identified exact
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chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project Machine Learning-based Electro-Chemo-Mechanical Estimation and Control
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team. Our research investigates fundamental mechanisms underlying neurodegeneration and cancer, with current projects focused on two major areas: 1. Protein quality control, aging, and neurodegenerative
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) methodologies. The research will focus on Li-ion cells pairing polymer-based redox cathodes with graphite/Si–graphite anodes. It will encompass electrolyte formulation and screening, quantitative interphase