58 web-programmer-developer "https:" "https:" "AMADE research institute University of Girona" positions at SciLifeLab in Sweden
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As a Software Developer at the SciLifeLab Data Centre, you will develop and maintain national systems for research data, using Python and Kubernetes to build scalable and sustainable solutions. Join
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-looking environment where you can both use and develop your technical skills? Then this position may be right for you. The Department of Medical Sciences (IMV) is a large clinical department with
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SciLifeLab, aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total
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Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is
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) aims to recruit and train the next generation of data-driven life scientists and to create globally leading computational and data science capabilities in Sweden. The program is funded with a total of
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of LNPs under various storage conditions, the aim is to develop formulations with both high performance and improved stability. The work includes the design and systematic screening of LNP formulations
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gender equality and diversity as a strength and an asset. Description of the workplace The Department of Immunotechnology conducts research ranging from advanced technology development to biomedical
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. You would be welcomed in the the Yant Lab (https://www.yantlab.net/ ) Using large-scale graph-based pangenomics and forward evolutionary simulations, the student will develop predictive models
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career development plan. The program integrates international, interdisciplinary, and intersectoral elements to provide a well-rounded educational experience. Networking Opportunities: Build lasting
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ecosystems. The SciLifeLab and Wallenberg National Program for Data-Driven Life Science aims to recruit and train the next generation of data-driven life scientists and create globally leading computational