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Field
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, synthetic biology, quantitative imaging, spectroscopy, metabolomics, and mathematical modelling to push the boundaries of our understanding of endosymbiosis. The successful candidate will work closely with
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cancer and/or pancreatic cancer metastasis models, metabolomics/lipidomics, metabolic flux analysis and genetically-engineered cancer mouse models. There are also training opportunities in improving grant
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, proteomics, metabolomics, ChIP-seq, single-cell RNA-seq, and spatial data and multi-omics data integration. Executes molecular and biochemical assays such as qPCR, Western blotting, ELISA, flow cytometry, and
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biology including (meta)genomics and metabolomics, bioinformatic analysis, behaviour, immunofluorescence, optogenetics and microscopy. Experience in these disciplines particularly with a focus on zebrafish
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to, flow cytometry, ELISA, RT-PCR, bulk and single cell RNA sequencing, imaging and other emerging technologies (e.g. imaging mass cytometry, spatial transcriptomics, metabolomics/proteomics) – including
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transcriptomics, methylation, proteomics, metabolomics, or digital pathology data. Experience with clinical trial datasets, electronic health record data, cancer registry data, or other real-world clinical datasets
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, immunohistochemistry, and advanced molecular biology techniques. · Experience with metabolomics, lipidomics, or microbiome analyses is highly desirable. · Experience with computational analysis of -omics datasets is a
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samples from clinical trials, proteomic/metabolomic/lipidomic research, pharmacometric data analysis, and medicine quality research. The department is today one of the world’s leading laboratories
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microbiomes to improve agricultural productivity and sustainability Conduct collaborative research in areas such as plant–microbial interactions, metabolomics, RNAi, and soil systems Produce high-quality
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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