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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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), statistical analysis of LHC data or beyond-the-Standard-Model phenomenology, is meriting. Experience with large-scale training on GPU and HPC systems, with design of experiments and active learning, with open
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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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, 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
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sequence alignment methods is a plus. You will focus on developing efficient indexing methods for the analysis of large-scale DNA sequence data. Research project 2. This interdisciplinary project focuses
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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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genomics and transcriptomics, antibody development based on phage display, large-scale mass spectrometry-based proteomics, and associated bioinformatics. The department is also responsible for several
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-institutional constellation of SciLifeLab researchers and infrastructure units. The Human Protein Atlas (HPA) is a large-scale international effort to map the spatial distribution of proteins in human cells
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Director within the SciLifeLab organization. Key responsibilities include developing and leading collaborations, particularly within large-scale international research consortia, and successfully securing
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highly motivated doctoral student working on large-scale population science projects on pancreatic cancer epidemiology, with special focus on pre-diagnostic metabolic phenotypes. The research question we