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is looking for a postdoctoral researcher, doctoral researcher or project researcher to develop machine learning methods for health data analytics. The fixed term position starts on mutual agreement
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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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oriented field relevant to the project, such as computer science, mathematics, statistics or physical sciences. Expertise in machine learning based and statistical data analysis, including the capability
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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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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
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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