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to apply for our open positions. Benefits In the Materials Informatics Laboratory group, we combine electronic structure simulations and machine learning to pursue innovative applications for future
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omics datasets developing and applying machine learning methods to biomedical questions keeping up with rapidly evolving methods in the field collaborating with biomedical researchers to assess
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: neuromorphic algorithms, machine learning, classifier development, AI programming Key tasks include experimental and/or computational research, collaboration within the project team, publishing results in high
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experimentation for materials research. Automated experimentation refers to the use of software, robotics, machine learning and other automated systems to design and conduct experiments with minimal human
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deadline, awarded no longer than 10 years before the Call deadline excluding any declared career breaks, such as parental leave or military service). Applicants must meet the MSCA Mobility Rule Requirements