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interest are not directly observable. These may include, for example, ability, attitudes, well-being, or different dimensions of poverty, which instead must be estimated from observed data. The overall aim
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a focus on AI, academic writing, and human-computer interaction. This includes the study of writing conventions within scholarly communities and how these shape the work produced. Job description The
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Uppsala University, Department of Information Technology Are you interested in developing new image analysis and machine learning methods for precision medicine and clinical decision support? Would
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mathematical models of cardiovascular physiology. Your responsibilities will include: Developing and implementing methods for the analysis and quality control of 4D Flow MRI data. Developing and validating
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candidate with a strong interest in environmental and climate-related issues, a solid foundation in quantitative methods such as mathematics, statistics, and programming, broad knowledge of natural and
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perspectives contribute to the development of new knowledge. About the research project Most research on environmental exposure and health still estimates exposure based on people's residential location. However
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closely with the computer graphics group at the department (LUGG, Lund University Graphics Group). The group conducts research at the intersection of human-computer interaction, visualization, and
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. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical analysis, time-series analysis, etc.). Quantitative methods in
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chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project Machine Learning-based Electro-Chemo-Mechanical Estimation and Control
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structures. Development of textiles as test instruments. Textile characterisation and studies of actuation. To participate in clinical studies and analyse the outcome through biomarkers, pain estimation scales