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and technical staff, as well as many PhD students. The successful candidate will work in a dynamic and internationally engaged scientific environment at the Section for Marine diversity and experimental
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microbiologist, chemists, and bioinformaticians. We offer creative and stimulating working conditions in a dynamic and international research environment, with recently renovated laboratory facilities and state
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(DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global
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, computational modelling, bioinformatic analysis, and experimental vascular biology. Based in a dynamic translational research environment of data-driven life science, computational imaging, and vascular surgery
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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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implementation is advantageous (especially if in the context of protein structure) Experience with structural biology and/or molecular dynamics is advantageous Publicly available code is advantageous Experience
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using state-of-the-art single-cell omics technologies. The team consists of the principal investigator, two experimental scientists (doctoral students), one bioinformatician (postdoc), and one
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(density functional theory and ab-initio molecular dynamics simulations) with artificial intelligence techniques to parameterize machine learning force fields and kinetic Monte Carlo methods to model
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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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are highly motivated and eager to engage in world-class research in theoretical quantum nano-optoelectronics. The ideal candidate will be enthusiastic about contributing to cutting-edge research in a dynamic