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spatial transcriptomic data. A demonstrated interest in data visualization and large-scale data analysis is highly desirable. The ideal candidate will have a keen interest in understanding complex
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societal challenges. Our department is an exciting workplace with research in a broad technology-related area, from basic research to large-scale applied research, and with close contact with students
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the Heureka decision support system to analyse how different forest management strategies affect biodiversity and the provision of ecosystem services, as well as how these interact with the development of wind
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conducts theoretical, methodological and applied research, with emphasis on statistical methodology for large-scale and register-based data and on applications of societal relevance. The successful candidate
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-scale conditions and evaluate recycled bio ashes as a source of nutrients or growth-promoting components. The research will optimize cultivation and exposure conditions, quantify metal uptake by
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scattering. But the average is not the whole story, and whether the electrons are itinerant or localized depends on composition and the spacing between rings. Both are set by chemistry: by the counterion
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techniques targeting these codes. Our aim goes beyond raw performance tuning; we use a multi-disciplinary approach to redesign key algorithms for modern HPC architectures while establishing energy efficiency
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of transport‑related emissions. In both positions, the overarching ambition is to extend large‑scale transport simulation models into next generation transdisciplinary frameworks that integrate energy, emission
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methods for such searches that account for event selection and systematic uncertainties, and to demonstrate them on realistic searches at scale on national HPC resources. The project will primarily use
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-level computational model of the human cell. The program is led by Jan Ellenberg, Director of SciLifeLab and Mathias Ulhen, Director of the Human Protein Atlas, together with a collaborative, multi