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a comprehensive long-term microbial monitoring of several biogas plants combined with machine learning. You will be involved in experimental biogas trials, DNA-based sequencing and bioinformatic data
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by SLU. Your profile You must have a research focus on small RNAs, plant- microbe interactions, bioinformatics or similar. You should have the ability to work independently as well as in a team. You
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, evolutionary ecology, plant physiology, plant genomics, plant protection, bioinformatics or a similar subject. It is essential that the candidate has genomics and bioinformatics experience and is fluent in
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investigates the consequences of devastating outbreaks caused by forest pest fungi, utilizing advanced molecular biology methods and bioinformatics to analyze the intricate interactions among fungi, trees, and
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adaptation in pine and spruce and to develop tools for assessing drought tolerance. Qualifications: We are looking for someone interested in forest genetics, bioinformatics, tree physiology (drought), and
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and seedlings, molecular work, and bioinformatics on genome and transcriptome level to identify key genes related to drought resistance in the genus Suillus. You will also perform an analysis
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technical support, support for bioinformatic analyses through the SLU Bioinformatics Infrastructure, and a well-equipped molecular ecology research facility. This position is part of the PhD program within
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interactions in aquatic environments using our existing datasets. You will also join sampling for generating new metagenomic datasets and be engaged in bioinformatics analyses of multi-omics datasets generated
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in a Linux environment, quantitative genetic modelling (including use of software such as BLUPF90, ASReml or similar), genomic prediction, programming in R or Python, use of bioinformatics tools
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have a masters degree and experience in bioinformatic and population genetic analysis using reduced representation and whole genome sequence conifer data. The candidate must have very good knowledge of R