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or predictive modelling of pathogen biology or host-microbe systems for which multidimensional, genome-scale experimental data are now available or it may use population-scale genetic, clinical, or public health
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Associate Professor Åsa Johansson at Uppsala University, Department of Immunology, Genetics and Pathology. The group focuses on identifying risk factors for common diseases and developing models for risk
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of the project The PhD student will study how immune cells affect atherosclerosis development through studies of animal models and human tissue. Through translational projects, the PhD student will investigate how
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, technoeconomic assessment, and multicriteria decision analysis to explore trade-offs holistically. Given the early development stage of next-gen batteries, prospective LCA will be used to model their large-scale
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competence, and a results-oriented and proactive attitude. Meritorious for the position are: Previous research related to CMDs, longitudinal data modelling, human genetics. Assessment Criteria and Selection In
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modelling tools (e.g., CLEWIN, ANSYS, COMSOL) -Strong analytical and problem-solving skills, with the ability to work independently and within interdisciplinary teams -Fluency in both spoken and written
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rate, and virtually nothing is known about a putative connection between these mutation rates. Using several Drosophila melanogaster model systems, in combination with quantitative genetics, experimental
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methods, including modern machine learning methods, to draw inferences from register data. A third project “Integrative machine and deep learning models for predictive analysis in complex disease areas“ is
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’. The department undertakes fundamental research on model organisms, agricultural crops, forest trees and bioenergy crops. Our main areas of research comprise the interaction of plants with microorganisms and other
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team of researchers in an European project. As a main topic, you will perform your research in one of these areas: -Data model translation, to enable the automatization of the engineering process