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command of English. The candidate must possess a strong publication record that demonstrate their capacity of using bioinformatic platforms in life science research. The candidate should be proficient in
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/Deep Learning: ML/DL model development (e.g., PyTorch, Lightning) for predicting antigenicity, genetic variation, and viral evolution. Genomics & Bioinformatics: Viral genome-based evolutionary analysis
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for autonomous platforms and laboratory systems. Lead research in smart electric power hybridisation (e.g., batteries, supercapacitors, fuel-based systems, renewable integration). Develop control and energy
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