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-based environments for high-performance data analysis. Knowledge of biological network inference, causal modeling, and graph-based AI approaches. Experience in multi-modal data fusion, representation
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modalities. Therefore, the ideal candidate will be expected to conduct homologous overexpression, gene silencing, sequence analysis and contained phenotyping. Education A PhD in Molecular Biology, Genetics
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to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project addresses critical challenges in personalized medicine, disease stratification, and multi-modal data
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profiled and their associated target phenotypes in selected crops subjected to drought and salt stresses. This will be a key step in determining editing modalities. Therefore, the ideal candidate will be