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Field
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• Primary cell culture and tissue based analyses • Transcriptional profiling, including bulk and single cell RNA sequencing • Metabolomics and lipidomics relevant to retinoid biology • Quantitative retinoid
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combines metabolomics, microbiome science and computational modelling to develop new food intake biomarkers and to understand individual metabolic responses to diet and develop personalized nutrition
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. The candidate will engage in cutting-edge research employing molecular and chemical biology techniques, including LC-MS metabolomics, flow cytometry, mouse model studies, genomics, proteomics and bioinformatics
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pathways for prevention and treatment of metabolic diseases. The lab employs untargeted and targeted metabolomic analysis and isotope tracing studies using newly vested in-house Thermo Exploris 480 LC/MS
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not limited to, stable/radio isotope tracing experiments, metabolomic, and proteomic approaches, as well as genetic analyzes. Role of microbial consortia in mitigating perturbation in syngas
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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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-driven, quantitative analysis. The laboratory integrates large-scale methods such as transcriptomics, proteomics, metabolomics, and network biology to understand how viruses reshape host cell systems on a
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advanced microbial cultivation & microbiome metabolomics high-throughput & AI-driven antifungal discovery fungal symbiosis and pathogenicity fungal metabolites, epigenetics & microbiome structuring
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omics data (genomics, transcriptomics, proteomics, metabolomics) and integrative multi-level analysis Experience in medical image processing and analysis (MRI, PET, digital histology, microscopy
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inputs to reshape the proteome and metabolome in ways that influence health and disease. We use a multidisciplinary approach that integrates cellular and molecular biology, protein–metabolite interaction