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involve: Genomics & Bioinformatics: Programming, genome assembly, annotation, and phylogenomics. Cellular & Molecular Biology: Single-cell isolation, scRNA-seq, or multi-omics. Experimental Science
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Responsibilities The incoming postdoctoral researcher will lead or contribute to key research activities within the LU-PCG, advancing control theory, machine learning algorithms, and integrated simulation workflows
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infrastructure where power electronics, AI-driven workloads, UPS systems, and grid dynamics interact across multiple timescales, creating new and poorly understood instability mechanisms. The successful candidate
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-particle physics, predictive modeling, and AI-enabled digital twins for magnetically confined fusion plasmas in tokamaks. The research will combine high-fidelity simulations, reduced transport modeling
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. Participate in departmental seminars, workshops, and other events to engage with the academic community. Qualifications: Doctoral degree (or near completion) in cell biology, molecular biology, genetics
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computational models of disease dynamics, and lead statistical analysis of data sets. The Postdoctoral Research Associate will be formally appointed in the area that best aligns with their career goals and