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contribute new and better ways to analyse and interpret large-scale data. In your position, you will develop computational methods for cryo-EM reconstruction, heterogeneity analysis, and modeling of structural
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with large-scale neuroimaging and multimodal datasets. You will design and conduct neuroimaging analyses, coordinate data processing pipelines, and perform advanced statistical and computational analyses
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ways to analyse and interpret large-scale data. In your position, you will develop computational methods for cryo-EM reconstruction, heterogeneity analysis, and modeling of structural variability
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Mathematics » Statistics Mathematics » Other Researcher Profile Recognised Researcher (R2) Application Deadline 28 Feb 2026 - 22:59 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Is the
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at the Department of Electrical Engineering. The Division of Communication Systems conducts research and education in communications engineering, statistical signal processing, network science, and decentralized
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, and demonstrated ability to develop computational pipelines for biological datasets. Experience in statistical modeling and/or machine learning applied to biological systems, with the ability to link
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which stand to contribute new and better ways to analyse and interpret large-scale data. In your position, you will develop computational methods for cryo-EM reconstruction, heterogeneity analysis, and
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, experience working with the PyTorch framework, documented ability to develop algorithms and implement them in efficient code, and experience in statistical modeling, optimization or numerical methods, as
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invite applications for a postdoctoral position in the group of Axel Ringh at the Division of Applied Mathematics and Statistics, Department of Mathematical Sciences, with focus on computational methods
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equivalent foreign degree, obtained within the last three years prior to the application deadline Publications in leading journals or conferences in probability, statistics, or machine learning. Teaching