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team combines molecular medicine, bioinformatics, and clinical insights to uncover the mechanisms behind skin repair and chronic wounds. As part of our group, you'll gain hands-on experience with high
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Assistant Professor in artificial intelligence (AI) with a focus on precision medicine (PA2025/1776)
creativity and a high degree of expertise in the field, for example in clinical medicine, epidemiology, bioinformatics or mathematical modelling including handling of large-scale data sets. We expect
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, comparative medicine, food safety, bioinformatics and One Health. Our research covers everything from production animals to sports and pet animals, laboratory animals and wild animals. The department's
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, as well as NBIS (National Bioinformatics Infrastructure Sweden) bioinformaticians. Application of advanced technology to address complex biomedical challenges has positioned the Department
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, fungi, environmental samples, minerals and fossils. All research and knowledge are shared in the exhibitions, Cosmonova and in activities at the museum and digitally. The Department of Bioinformatics and
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, fungi, environmental samples, minerals and fossils. All research and knowledge are shared in the exhibitions, Cosmonova and in activities at the museum and digitally. The Department of Bioinformatics and
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substantially equivalent knowledge in some other way. For this position, the applicant must hold a master’s degree in molecular biotechnology, bioinformatics, computer science, or another area that the employer
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. Requirements: PhD in Ecology, Evolution, Bioinformatics or related areas Previous research experience in phylogenetic comparative methods Excellent skills in R programming Excellent writing and communication
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, epizootology, comparative medicine, food safety, bioinformatics, and One Health. For more information about the department visit: https://www.slu.se/en/departments/Animal-Biosciences/ Read more about our
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Computer science, Biostatistics, Bioinformatics, Neuroscience, or similar field. Proficiency in written and spoken English. Previous work with large-scale data analysis, integration and visualization. Proficiency in