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Join MultiD Analyses AB and the University of Gothenburg to develop innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through
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antimicrobial resistance and biological threats, and find new enzymes of broad interest (e.g., CRISPR gene editing). It will also reduce environmental impact of bioinformatics and promote safe computing standards
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communication and collaboration skills Nice to have: Background in bioinformatics or biology Experience working with biological or medical data Curiosity and willingness to learn are highly valued. Requirements
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will receive interdisciplinary training in bioinformatics, evolutionary genomics, and high-performance computing within the DDLS data-driven life science framework. Data-driven life science (DDLS) uses
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of polyploid genome evolution across contrasting timescales. The student will receive interdisciplinary training in bioinformatics, evolutionary genomics, and high-performance computing within the DDLS data
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(second-cycle) degree in biomedicine or bioinformatics have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project worth at least 15
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student who will work experimentally with microbial and human DNA sequencing, including associated analyses using standard bioinformatics methods. The project will also involve statistical analysis in R
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biology, medicine, and bioinformatics, and works in close collaboration with clinical practice. Collaborations take place both nationally and internationally, and the research environment is characterized
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training using computational models. Education or documented training in omics-based approaches, such as transcriptomics or proteomics, including basic bioinformatics analysis. Exposure to systematic
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(or equivalent) in biochemistry, biotechnology, bioinformatics, chemical biology, or a related field - Strong proficiency in spoken and written English Meriting qualifications: - Experience in protein engineering