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areas, of which at least 30 credits must be at an advanced level. Courses in statistical analysis, quantitative methods, or mathematical models acquired outside these subject areas may also be included
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areas, of which at least 30 credits must be at an advanced level. Courses in statistical analysis, quantitative methods, or mathematical models acquired outside these subject areas may also be included
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for multimodal machine learning, combining large-scale image data with molecular profiling and clinical data. This includes, for instance, research on deep learning-based image analysis and data assimilation
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qualifications Documented experience with data analysis and programming (e.g., Matlab, Python or R). Experience of risk assessment and/or decision analysis Experience of probabilistic methods such as Monte Carlo
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well as analysis and evaluation of the results of these. Research publications in reputable scientific journals, where the candidate has a lead author position Ability to present and communicate research ideas
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valuated. Experience in programing in image analysis or a willingness to develop such skills is considered an asset. Please visit the lab website of Lena Svensson. You should be highly motivated and able
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efficiency, flexibility, and sustainability. Within this research project, Linköping University is collaborating with leading industrial companies to develop digital analysis and decision-support tools
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, or have completed other education of equivalent scope and depth. We are looking for candidates with a strong interest in critical social analysis and a desire to explore questions related to digital
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: Quality of the master degree in a relevant area Written and oral proficiency in English Capacity for analytical thinking and quantitative analysis Ability to work independently, to take initiative and be
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data analysis, while contributing to fundamental questions in evolutionary biology. We welcome applicants with training in biology or related quantitative fields (mathematics/physics/computer science