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Do you want to contribute to top quality medical research? Computational methods and AI applied to large-scale molecular data are transforming biology – from molecular structures and cellular
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Do you want to contribute to top quality medical research? Computational methods and AI applied to large-scale molecular data are transforming biology – from molecular structures and cellular
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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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Do you want to contribute to improving human health? Computational methods and artificial intelligence on large-scale molecular data are transforming the study of biological systems at all levels
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Do you want to contribute to top quality medical research? Computational methods and AI applied to large-scale molecular data are transforming biology – from molecular structures and cellular
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genomics, with cutting-edge methods, large data sets and good resources A creative role combining a high degree of autonomy with mentorship from Dr. Lappalainen and interactions with colleagues in the lab
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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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proficiency in English is a requirement, both in speech and writing. Previous experience with large-scale genetic data analysis is a requirement. Additional qualifications The ideal candidate is highly
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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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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