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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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, 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
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. Qualifications requirements The applicant is required to have a PhD degree in Computer Science, Software Engineering, or related fields. The applicant must have completed the degree no more than three years before
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position is part of a five-year research program funded by the Wallenberg Foundation, which aims to develop and apply computational tools to understand the evolution of biodiversity (see https
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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 are seeking two postdocs to collaborate on developing a near-quantum-limited microwave amplifier for readout in superconducting quantum computers. One position will focus on nanofabrication