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. To achieve your goal, you will use different approaches, including but not limited to: RNA sequencing techniques (e.g. RNA-seq, TT-seq, PRO-seq); Proximity labeling approaches and pulldowns; Chromatin
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modelling of materials and machine learning. Experience in atomistic modelling (molecular dynamics, density functional theory) and machine learning is important, as well as a strong interest in pursuing
Searches related to molecular dynamics simulation
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