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multi-omics (e.g., genomics, epigenomics, transcriptomics, and proteomics) information. The postdoctoral fellow will develop and refine machine learning methods for analyzing histopathology, clinical
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carried out in close collaboration with clinical departments, BioMS, and experts in proteomics, peptidomics, and bioinformatics at Lund University. The Department of Clinical Sciences Lund is now
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Graduate School ( https://labex-netrna.cnrs.fr/training/imcbio-graduate-school/ ). The candidate will also benefit from the scientific environment of the research cluster and Laboratory of Excellence ( https
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metabolomics and proteomics in cancer, neurodegenerative diseases, and infectious diseases. Scientific integrity, curiosity, and determination are key qualities of a successful candidate. In
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personalities who want to make a change. Our work is based on respectful communication, professionalism and high aspirations of having a positive impact on society. Where to apply Website https
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large-scale datasets. Hands-on experience with scRNA and/or bulk RNA sequencing analysis Experience with proteomics data and analysis An interest in human genetics and its translation into model
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encompasses research on SARS-CoV-2 cell biology, with emphasis on molecular virology, proteomics-based approaches, and host response pathways. The incumbent will apply advanced molecular biology, cell
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, generation of complex ECMs, metabolomics and proteomics approaches and a variety of imaging techniques, including high-throughput, confocal and live cell imaging. Please apply for this project using this link
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docking of cancer derived extracellular vesicles (EVs) to T cells (groups involved: Clinical Peptidomics, Structural Proteomics and Cancer Immunology) 3). Development of the strategies preventing T cell
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Investigating how DNA damage responses combat infections by the typhoid pathogen Salmonella enterica
resolve the senescence-associated antimicrobial mechanisms restricting Salmonella infection The project combines molecular cell biology, infection, mass spectrometry (metabolic, proteomics) and