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strong background in machine learning and/or computer vision is required, along with solid programming skills in Python and experience with deep learning frameworks (e.g. PyTorch). Prior research
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science. Applicants must hold a M.Sc. degree in chemistry, physics, computational chemistry, pharmaceutical sciences, or a closely related discipline. The candidate should have solid quantitative training
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design Desirable Qualifications Experience with or interest in gas-phase fragmentation mechanisms and ion chemistry Interest in computational proteomics, spectral library development, or fragmentation
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atomic-resolution TEM. Linking 3D atomic structure, dynamics, and catalytic function of individual nanoparticles. Identifying and stabilizing uniquely active nanoparticles to uncover atomistic mechanisms