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dysfunction. An ensemble of multi-scale computational approaches (molecular dynamics simulations, quantum chemistry, machine learning) are applied to study the mechanistic aspects of biomolecules in great depth
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to uncover the cellular and molecular mechanisms driving disease development and progression. A key objective of our work is to develop advanced computational tools to dissect the role of alternative splicing
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potential candidate will perform large-scale machine-learned driven molecular-dynamics simulations of ion irradiation in phase-change materials, to obtain realistic models and evaluate the resilience
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data, omics technologies, as well as novel computational approaches to uncover the cellular and molecular mechanisms driving disease development and progression. A key objective of our work is to develop