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project to study genetic regulatory variation and its link to molecular, cellular and organismal phenotypes using a systems genetics approach. The project is fully computational, and potential approaches
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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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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
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course catalog and you will have the opportunity to participate in teaching at advanced level (PhD level and up). Requirements PhD in Bioinformatics, Computational Biology, Computer Science, or a related