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of the largest pan-cancer signaling models in the literature. SPARCED is compatible with high-performance and cloud computing, can simulate thousands to millions of single-cell trajectories, is easily expandable
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large-scale, high-dimensional datasets including multi-modal data integration and hands-on experience with high-performance computing (HPC) environments Ability to work independently and in
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stage. Strong programming skills (Python or R) and familiarity with high-performance computing Exceptional collaborative abilities Preferred qualifications A doctoral degree or an equivalent foreign
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SciLifeLab Drug Discovery and Development. The department is also responsible for several student courses and offers high-quality education at both undergraduate and advanced levels. Approximately 35 people