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                , computer science or a related subject the employer considers of relevance to the position. Experience (3+ years) in working with advanced bioinformatics analyses of omics data from high throughput 
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                computer science or an equivalent education, such as a Master of Science in Engineering. A minimum of 10 years of documented experience working in IT as a developer, systems specialist, architect, or similar role 
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                both technical expertise and an understanding of clinical relevance. Required: Master’s degree, engineering degree, or equivalent in bioinformatics, computer science, or related field. Experience in 
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                these questions through an interdisciplinary lens, with a strong focus on mathematical and computational methods closely connected to evolutionary theory and biological data. Read more about our research themes and 
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                biochemistry, especially protein purification, and computational image analysis must be acquired before starting PhD project work. As a PhD candidate, you must also be fluent in both oral and written English 
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                , molecular biology, computer science or related subjects the employer considers of relevance to the position Experience (3+ years) in working with advanced bioinformatics analyses of omics data from high 
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                other experts within the Support for Computational Resources unit at NBIS and related organisations, notably SciLifeLab, National Academic Infrastructure for Supercomputing in Sweden (NAISS), and EuroHPC 
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                DNA unit, you are part of a team that includes staff at Stockholm University, and is part of a research environment that includes the Human Evolution research program at Uppsala University and the 
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                personnel from all different sites at the NBIS retreat. Requirements You should hold at least a bachelor’s degree in computer technology, computer science, systems science or possess documented equivalent 
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                National Program for Data-Driven Life Science (DDLS) is a 12-year initiative that focuses on data-driven research, to train and recruit the next generation of life scientists and create strong and globally