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simulations (QM/MM and atomistic molecular dynamics simulations, free energy methods, and machine learning). Candidates with either computational and/or experimental expertise are encouraged to apply
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evolutionary transitions, machine learning, and genomics to decode pollen evolution and unravel sexual selection mechanisms shared across kingdoms” led by Prof. Tanja Slotte in close collaboration
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computational studies and, where appropriate, modern analysis methods such as machine learning. The student will contribute to feasibility and sensitivity studies for proposed future experiments and work
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