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, materials, and energy technologies. Experience in one or more of the following areas is considered an advantage: fine-tuning machine learning potentials, Hamiltonian learning, molecular dynamics simulations
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quantitative experts (mathematics, statistics, AI&ML, systems engineering). Supervise, collaborate, and support PhD students and postdocs involved in joint projects. Your profile We are looking for someone who
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biological datasets. Experience with proteomics, mass spectrometry, protein structure analysis, molecular dynamics, deep learning, or bioinformatics is advantageous but not required. Experience with data
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