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advanced AI and bioinformatics approaches to large-scale single-cell and multi-omics datasets. The project will focus on integrating these data to investigate cellular and tissue-specific signalling
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model of the human cell. The program is led by Jan Ellenberg, Director of SciLifeLab and Mathias Ulhen, Director of the Human Protein Atlas, together with a collaborative, multi-institutional
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structure – function relationships in lipid systems for drug delivery (predominantly lipid nanoparticles). The group has extensive expertise using large scale research infrastructures to study lipid systems
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societal challenges. Our department is an exciting workplace with research in a broad technology-related area, from basic research to large-scale applied research, and with close contact with students
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methods for such searches that account for event selection and systematic uncertainties, and to demonstrate them on realistic searches at scale on national HPC resources. The project will primarily use
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-level computational model of the human cell. The program is led by Jan Ellenberg, Director of SciLifeLab and Mathias Ulhen, Director of the Human Protein Atlas, together with a collaborative, multi
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quantification and apply these methods to large-scale clinical cancer data? Are you looking for an employer that invests in sustainable employeeship and offers safe, favorable working conditions? We welcome you to
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law and is considered grounds for legal action. Additional preferred qualifications: Prior experience with bioinformatics workflows and analysis of large-scale multi-omics datasets (e.g., RNA-seq
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-performance computing, particularly in the theory of efficient string and data structures, sequence indexing, and large-scale data analysis. Experience with the Burrows–Wheeler transform, pattern matching, and
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, world models or simulation-based inference is meriting, as is experience with large-scale training on GPU clusters, open-source software development and applications in the life sciences. Teaching