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are service-orientated, proactive, thorough and able to quickly find solutions to questions and problems. You enjoy managing multiple tasks in parallel and working independently, efficiently and in a
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haplogroups, principal component analysis, analysis, analysis of kinship, trait analysis and metagenomic analysis (incl. analysis of pathogenic microorganisms). The bioinformatician is involved in maintaining
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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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methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab and
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for one to two PhD students in analytical chemistry to develop analytical methods for single cell analysis and mass spectrometry imaging using direct infusion mass spectrometry. The PhD candidate will work
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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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-based, Bayesian or matrix factorization methods for multi-omics integration. Ability to independently perform data analysis and scientific interpretation based on omics data at an internationally
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tasks include development of adequate single-molecule labeling strategies, optimized use of high-precision MINFLUX microscopy, and establishing methods for data precision analysis. What we offer A
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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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, chemical, biochemical and physical research areas. You will be involved in teaching methodology courses at postgraduate level and provide user training on EM methods. Work assignments include, operation and