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Field
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Qualifications: Experience in proteomic data analysis and laboratory bench work related to proteomics. Experience operating image-based flow cytometry platforms and analyzing resulting datasets. Experience
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. Candidates with background knowledge and hands-on experience in mouse models, proteomics, 3Dorganoids,primary cells purification and culture skills are particularly welcome. Minimum Requirements: Ph.D
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models to evaluate therapeutic efficacy and pharmacokinetic profiles. Gaining exposure to cutting-edge transcriptomic, proteomic, and "imageomic" (high-content image informatics) datasets, as
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infected human cells, identify viral and host complexes in their native context, and combine this with structural modeling and proteomics to build a spatially and temporally resolved picture of the infection
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centres for life-science research. It offers a highly international and collaborative environment, with access to state-of-the-art facilities in imaging, proteomics, cell biology, and biophysics
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. Current research areas include environmental and lifestyle exposures, metabolic dysfunction, obesity, inflammation, proteomics, metabolomics, and other multi-omics approaches in relation to cancer and
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modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics, and metabolomics. Working closely with senior
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proteomics, structural biology, and molecular biology to define new modes of GPCR signaling. We are particularly interested in candidates with strong backgrounds in proteomics and/or structural biology and/or
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technologies for transcriptomic, proteomic, and metabolomic studies. Complete the assigned work in time. Complete complex research projects at different stages (advanced through nearly completed). Formulate
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. Candidates with experience in genomic analyses, proteomic approaches, imaging analysis, iPS differentiation and bioinformatics would be especially welcome. The post available as a fixed-term contract for 1