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combining electrophysiology and imaging with single-cell genomics, spatial transcriptomics, or computational modeling. · Proven ability and enthusiasm to evaluate, adopt, and innovate new
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models) and modern technologies including flow cytometry, multiplexed imaging, spatial transcriptomics/proteomics and single-cell profiling. • Analyze patient samples from an accompanying clinical
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, bioinformatics, genetics, cancer modelling and cell biology (including advanced in vitro and in vivo imaging), immunology and polyomics (genomics, transcriptomics, proteomics and metabolomics
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applied, including biochemistry, molecular biology, molecular genetics, materials science, polyomics (genomics, transcriptomics, proteomics, metabolomics etc), bioinformatics, structural biology
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<span lang="en">German Center for Neurodegenerative Diseases (DZNE)</span> | Bonn, Nordrhein-Westfalen | Germany | about 7 hours ago
, a deeply-phenotyped, large-scale population-based cohort study. Available data include comprehensive multi-omics data, including (epi)genomics, transcriptomics, metabolomics, lipidomics, and
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, with applications in genomics, spatial transcriptomics, and fluorescence imaging. High-dimensional and structured biological data are increasingly common in modern biomedical research but remain
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: · Experience interpreting and integrating multi-omics datasets, including single-cell RNA -seq, bulk RNA -seq, spatial transcriptomics, proteomics, secretome/exosome profiling, and functional assay
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(genomics, transcriptomics, proteomics, metabolomics). Basic and applied science projects are available for study, as are field-based projects with research programs underway in both the UK and
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, transcriptomics, metabolomics and/or food analysis) is an advantage. Required skills: Experience with basic microbiology and molecular biology techniques. Excellent reading and writing skills in scientific
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, systems biology, polyomics (genomics, transcriptomics, proteomics, metabolomics), bioinformatics and synthetic biology, as well as cellular imaging of biological functions. Specific areas of interest