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, volumetric data analysis, optimization methods, statistical modeling, or machine learning for scientific applications. Prior experience with cryo-EM software frameworks or structural biology data is considered
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The Department of Computer and Information Science was founded in 1983 but its roots go back to the early 1970s. It is one of the largest computer science departments in northern Europe. Our research covers a
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, data science, or a related field. We also think you have a strong mathematical background and knowledge of optimization, particularly in areas such as complexity theory, high-order methods, acceleration
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communication limitations, adversarial conditions, continual and adaptive learning in dynamic environments. The research will combine tools from distributed optimization, stochastic approximation, information
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scientific backgrounds. LOE offers state-of-the-art infrastructure, including cleanroom facilities, advanced chemistry laboratories, biolabs, and photonics laboratories (see: https://liu.se/en/research
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statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials
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of behavioural biology are required. You should also have solid experience working with large datasets, as well as documented skills in statistical analysis and data visualisation, for example work with regression
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7 Feb 2026 Job Information Organisation/Company Linköping University Research Field Biological sciences Researcher Profile Established Researcher (R3) Application Deadline 31 Mar 2026 - 12:00 (UTC
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19 Dec 2025 Job Information Organisation/Company Linköping University Department Department of Science and Technology Research Field Engineering » Materials engineering Physics » Chemical physics
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a doctoral degree in Condensed Matter Physics, Materials Science, Chemical Engineering, or a closely related field. Specific entry requirements include: Demonstrated hands-on experience with ultra