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proficiency in English studied courses in bioprocess technology, molecular biotechnology, enzyme technology, advanced analytical chemistry, bioanalysis and bioinformatics Laboratory experience in biocatalysis
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to user needs and scientific questions. Qualifications Qualification requirements: A university degree in computer science, physics, engineering, bioinformatics, or a related field (PhD degree is
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connecting our user communities and developing new data services together with senior experts at the SciLifeLab Bioinformatics Platform and the SciLifeLab Data Centre – to enable groundbreaking research in a
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some other way within or outside the country, substantially equivalent knowledge Master's degree in bioinformatics, biocatalysis, biotechnology, biochemistry, or equivalent In addition to the above, there is
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degree in bioinformatics, data science, computer science, scientific computing, or associated field Documented experience with AI methods for analysis of tabular dataset and image-based data including deep
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of the major hubs for the national infrastructure SciLifeLab , which offers expertise and advanced technology platforms in the life sciences and bioinformatics. The department has its own computing cluster and
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science capabilities and launching a major recruitment call for outstanding staff scientists in areas such as bioinformatics, data management, artificial intelligence and IT to join our national research
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-oriented candidates with strong experience in bioinformatics, data analyses for quantitative and population genetics, and genomics. To qualify, you should have a PhD degree in subjects relevant
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, which offers expertise and advanced technology platforms in the life sciences and bioinformatics. The department has its own computing cluster and also has access to national computing resources through
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the field, for example in computational biology, mathematical modelling and simulations, bioinformatics of large-scale datasets. The candidate will be evaluated with regard to: 1) Scientific excellence 2