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algorithms, statistical methodologies, and biological network analysis Experience with the analysis and integration of transcriptomic and multiomics data (bulk and single-cell) Proficiency in relevant
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sensor data, with applications in disease modeling and the development of material science-based innovations. These efforts aim to optimize system performance and uncover novel biological insights in close
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, execution and analysis of three cooperative sub-projects within the FADOS network: The development of kinetic Monte-Carlo algorithms with realistic working parameters which account for inhomogeneous and
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