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special light-switchable organic molecules that mimic the function of biological systems. These synthetic "molecular machines" will be composed of various photoswitches and molecular motors, with
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-distance-energy data coming from Scanning Probe Microscopy on surfaces relevant for life sciences research and medicine, including curve classification tools based on machine learning, providing both
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, metabolomics, RNA-seq) and computational (e.g., bioinformatics, molecular networking, machine learning) approaches to develop new workflows for the discovery and utilization of bioactive molecules derived from
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, metabolomics, RNA-seq) and computational (e.g., bioinformatics, molecular networking, machine learning) approaches to develop new workflows for the discovery and utilization of bioactive molecules derived from
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others) in development of molecular databases for machine learning and force field development. Field: Computational Chemistry and Physics, Biophysics University: University of Ostrava Location: Ostrava