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This postdoc project aims to address a critical challenge in quantum computing: errors in superconducting qubits caused by cosmic radiation, which cannot be corrected using existing methods
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coast and in offshore areas. The position will also include further development of ongoing data analyses within the national data collection program (DCF), which plays a key role in improving our
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to the application deadline. PhD in computer science, electrical engineering, biomedical engineering, or a related field. Experience in Python programming, natural language processing, and multimodal deep learning
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model design and analysis as well as statistical model parametrization and validation techniques. This Postdoc position is part of a five-year research program funded by the Wallenberg Foundation, aimed
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on the development of new perennial cereal grains within an extensive domestication and plant breeding program. Your research work will focus on questions of genetic and phenotypic diversity and to develop genomic
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education to enable regions to expand quickly and sustainably. In fact, the future is made here. We are pleased to announce a postdoctoral position focusing on developing advanced computational techniques
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research environment is characterized by a modern and advanced methodology and has a strong international profile. The institute has 30 research groups with a research staff of 200, of which 60 are PhD
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, visualization, and development of new computational methods for processing and analysis of large-scale omics data. We welcome applications from candidates with pure computational background and those combining
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of organic semiconductor materials. Work assignments This project, funded by the Wallenberg Academy Fellows programme https://kaw.wallenberg.org/en/research/creating-greener-semiconductors , aims to provide a
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from the European Research Council and a DDLS Fellowship from the SciLifeLab and Wallenberg Swedish program for data-driven life science. The successful candidate will be working within the development