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docking to investigate viral spike/capsid architecture, thermal stability, and immune epitope accessibility. AI/Deep Learning: ML/DL model development (e.g., PyTorch, Lightning) for predicting antigenicity
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, responsible and able to work independently and within a team. The appointee will work on various projects related to children’s and adolescents’ mathematics and science learning. Duties include literature
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and construction workflows Requirements A PhD’s degree; AI-native; Highly fluent with tools like Codex or Claude Code (or equivalents), and can leverage them to learn and solve new and complex problems
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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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; Highly fluent with tools like Codex or Claude Code (or equivalents), and can leverage them to learn and solve new and complex problems rapidly; Strong judgment, and can quickly evaluate what works, what
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areas related to the teaching and learning of STEAM and artificial intelligence, multilevel leadership and related fields. Responsibilities include: research design and development of instruments; data