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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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of scientific publications. Additional duties may be assigned within the scope of the position. Qualifications Requirements for the Position A Master’s degree or equivalent in bioinformatics, engineering physics
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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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(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
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development of a broad technical skillset. This project is ideal for candidates interested in bioinformatics, evolution, and exploring how genomics can be applied to real-world challenges. Requirements To meet
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ideal for candidates interested in bioinformatics, evolution, and exploring how genomics can be applied to real-world challenges. Requirements To meet the general entry requirements you must have been
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of the position. Qualifications Requirements for the Position A Master’s degree or equivalent in bioinformatics, engineering physics, mathematics, applied mathematics, computer science, biomedicine, biotechnology