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well as high motivation to pursue doctoral studies. Previous experience with plant nitrogen physiology, trees as a model system, genetics, genomics, and bioinformatics are valuable merits. Place of work: Umeå
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Medicine and is led by Associate Professor Joakim Esbjörnsson. The group uses various bioinformatics and phylogenetics methods to combine genetic, clinical, and epidemiological data to explain how viruses
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. The research group, led by Professor Thoas Fioretos , consists of about ten members with expertise in advanced flow cytometry, single-cell analysis, bioinformatics, antibody technology, and experimental systems
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, pharmacology, toxicology, immunology, microbiology, bioinformatics, and One Health. We study production animals, companion animals, laboratory animals, and wildlife to advance sustainable animal health, welfare
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anatomy, physiology, genetics, breeding, biochemistry, pathology, pharmacology, toxicology, immunology, microbiology, bioinformatics, and One Health. We study production animals, companion animals
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in molecular biology, bioinformatics, quantitative and structural proteomics, and structural biology (cryo-electron microscopy) to determine the interactions between various intact bacteria, bacterial
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the field of biotechnology, focusing on microbial physiology, precision fermentation, synthetic biology, bioinformatics, enzymes, and enzymatic processes. The purpose of the research is often linked
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if the candidate has experiences in transcriptional or epigenetic analyses, analyses of high-throughput sequencing data, or experience with other forms of bioinformatical analyses. It is expected that the candidate
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environment with handling of biological material in cell biology and microbiological laboratories. The use of sensitive techniques such as flow-cytometry, confocal microscopy, proteomics and bioinformatics is
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in both wet lab work and bioinformatics analysis of Oxford Nanopore long-read sequencing data related to X-linked diseases. Skilled in proteomic methods using MALDI-TOF and HPLC-MS, including data