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in molecular biology techniques, RNA-omics and/or proteomics, and related bioinformatic analyses. Fluency in spoken and written English, as well as a strong track record of carrying out and finalizing
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, or representation learning. Experience analysing large-scale single-cell omics data. Experience with integrative multi-omics data, such as genomics, proteomics, or metabolomics. Experience with relevant machine
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a research staff of 180, of which 65 are PhD students. More information about us, please visit Department of Molecular Biosciences, The Wenner-Gren Institute Project description Proteomics-driven
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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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The Structural Proteomics unit at BioMS Lund is a part of the SciLifeLab Integrated structural biology platform https://www.scilifelab.se/structural-biology/ . The unit provides access to cutting-edge equipment
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of molecular networks in cancer to advance precision medicine. By integrating high-throughput data (e.g. transcriptomics, proteomics, metabolomics) with prior knowledge of molecular interactions, we construct
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the time the employment decision is made. Strong understanding of biological datasets and data modalities relevant to cell biology, such as imaging, transcriptomics, proteomics, or spatial omics Rich
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The project aims to develop large-scale self-supervised models trained on rich, longitudinal health data, including: Medical records Lifestyle data Biological samples (genomics, transcriptomics, proteomics, etc
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, proteomics, long-read sequencing). Familiarity with machine learning approaches, particularly artificial neural networks, and their application to biological data. Experience with workflow management systems