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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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                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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                information about us, please visit: www.dbb.su.se Project description We are seeking a researcher for a fixed-term project within the framework of a research program on allosteric modulation. The project 
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                processes to human health and global ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists 
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                on developing strategies for personalized prevention, individualized risk prediction, early detection, and tailored therapeutic and prognostic tools for pancreatic cancer. The team currently includes 
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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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                existing and emerging methods Support of CFG users in all aspects of data analysis and data handling Application and development of robust statistical approaches for hit calling and data interpretation 
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                of large-scale DNA sequencing in molecular precision diagnostics within healthcare. This role is suited for someone with experience developing bioinformatics pipelines for large-scale sequencing data and who 
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                teaching expertise, the primary focus will be on teaching quality. The scope of teaching experience, in terms of both breadth and depth, will be considered. The ability to plan, initiate, lead, and develop 
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                in artificial intelligence (AI) to join our growing biomedical innovation team. In this pivotal role, you will lead and contribute to the design, development, and deployment of machine learning