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infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data
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me limited to: Designing, developing, and maintaining open-source systems for processing and analyzing large-scale genomics data. Managing data on our dedicated high-security cluster Miarka at UPPMAX
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using Cell Painting and high-content imaging. Deep learning and multivariate methods, both supervised and unsupervised. Development of software and pipelines for analysis of large-scale image data
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determined at the time of appointment. The position is time-limited to five years with the possibility for promotion to Senior Lecturer. Background Data-driven life science (DDLS) uses data, computational
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large green investments in northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We
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values rest on credibility, trust and security. By having the courage to think freely and innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your
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. Experience in molecular biology. Experience in handling large data, in particular next generation sequencing (NGS) data. Experience in bioinformatics or corresponding competence. Experience in web-application
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Do you want to contribute to top quality medical research? Karolinska Institutet (KI) is recruiting researchers as part of the Data-Driven Life Sciences (DDLS) Fellows program. The successful
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research infrastructures SciLifeLab, Swedigarch and ArchLab. The Ancient DNA unit is in operation since 2019 and the interest in the unit’s services is large across Sweden and internationally. At the Ancient
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mission of SciLifeLab is to provide technologies facilitating the large-scale analysis of biological processes at the molecular level. SciLifeLab Campus Solna, founded in 2010 as a joint effort by KI, KTH