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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description
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We invite applications for several postdoctoral research positions in experimental quantum computing with superconducting circuits. You will work in the stimulating research environment
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tomorrow. About the department The main competences at the Department of Industrial and Materials Science are found in the areas of: Human-Technology Interaction Form and Function Modeling and Simulation
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are focused drivers and enablers in our work. Our goal is to perform high quality research and education at bachelor, master and doctoral levels. The postdoc is expected to conduct high-quality research in a
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and future developmental timepoints from time-series data. Our recent theoretical work suggests that these learned relationships can generalize across conditions, and we will test this using both
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detecting fraud – but other sample types will also be studied, and the successful applicant will contribute to shaping the research direction. The applicant will work closely with wet and dry-lab researchers
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to enable microbial species detection and recognition in situ, using a sensor system that will eventually be deployed in agricultural fields for soil monitoring in space and time. Work duties The main duties
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systems, or network analysis. Experience with methods for causal inference, or modelling of biological systems is also considered a merit, along with prior work involving large-scale sequencing data such as
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fundamental research with practical, application-driven outcomes. You will work in a dynamic, multidisciplinary environment alongside academic and industry experts, with an emphasis on experimental research