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-scale computational methods, and bioinformatics. The division is also expanding in the area of data science and machine learning. Our department continuously strives to be an attractive employer. Equality
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, as well as handling bioinformatics tasks such such as running analysis pipelines, performing quality control, and conducting downstream data analyses. You are expected to actively contribute to method
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Expertize in bioinformatics Scientific proficiency within the subject of the position, demonstrated by a strong publication record and awarded grants Ability to work both independently and in teams Fluency in
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are required: You have graduated at Master’s level in bioinformatics, computational biology, data analysis, computer science, biostatistics, biological engineering, applied mathematics/physics or completed
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bioinformatics, physics, statistics, computer science, computational biology, or related fields. Experience programming in Python (or R) as well as bash/shell scripting. Experience with machine-learning and deep
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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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. 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