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alongside clinical experts, bioinformaticians, and basic scientific researchers at a world-leading institution to make a tangible difference to the NMD rare disease community. While day-to-day engagement will
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potentials, and robustness under different future energy configurations. Identifying and optimizing integrated energy solutions that improve the efficiency and operational value of the CO2 hub. Contributing
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YOUNG RESEARCHER IN THE FIELD OF EARLY DETECTION OF THE HEALTH STATUS OF PLANTS USING REMOTE SENSING
performance under different acquisition conditions and across different types of plant communities, programming and automating analytical workflows in Python and R, and integrating these workflows with
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microscopy datasets now capture millions of single-cell images across diverse perturbations, but differences in imaging protocols, marker panels, and cell types limit their integration and reuse. A key
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. Research in the group spans a broad and multidisciplinary scope, for example: Macro-processes reshaping who gets infected and when The molecular basis of differences in virus properties, such as antigenicity
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econometric skills and proficiency in statistical programming using software such as Stata, R, or Python. Experience with administrative data and knowledge of advanced techniques, including structural
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Familiarity with R, STATA, IBM SPSS Statistics, or Python What do we offer? A creative and inspiring environment with wide-ranging expertise and interests. Karolinska Institutet is one of the world's leading
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, and European projects on the topic Publish research findings in the prestigious peer-reviewed journals and present at relevant conferences Contribute to different research projects, either coordinating
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in machine learning and/or advanced analytical methods, experience working with complex or large-scale datasets, and strong programming skills (e.g., Python or R). You will be able to communicate
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situations where multitasking is possible and efficient. Within this project, the PhD student will mainly investigate how neural indices of cognitive control are impacted by different types of multitasking in