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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 2 months ago
with proteomics and/or metabolomics data would be a bonus Experience in the supervision of graduate students would be an asset Our offer Located in a region that connects Germany, France and Switzerland
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 2 months ago
conformation profiling (e.g. HiC, Micro-C, PLAC-seq/HiChIP), Nanopore long-read RNA/DNA sequencing, live-cell imaging, proteomics, metabolomics and/or other techniques, as appropriate. Your qualifications
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Max Planck Institute of Immunobiology and Epigenetics, Freiburg | Freiburg im Breisgau, Baden W rttemberg | Germany | about 2 months ago
, proteomics, metabolomics or other techniques, as appropriate. Your qualifications Applicants should have an academic degree in life science plus a PhD in molecular biology, biochemistry, genetics
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of novel and better enzyme variants from a large proteome compendium Generating structural models of enzymes and using machine learning methods to predict their enzymatic function and characterize
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technologies including genomic engineering, various sequencing applications as well as proteomics plan and manage animal experiments in the contexts of the above mentioned tasks supervision of students
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-omics data including genomics, transcriptomics, epigenomics, and proteomics, with a focus on microbiome analysis (metagenomics), single-cell sequencing, and spatial analysis for cancer research. Develop
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Your Job: Analysis and integration of diverse biological data from the field of plant sciences (large scale genomic, transcriptomic, proteomic, metabolomic and/or single cell data) using cutting
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will investigate the influence of heat stress on epigenetic and metabolic adaptations on animal health of dairy cows. You will use modern biochemical and molecular biological methods (proteomics
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large proteome compendium Generating structural models of enzymes and using machine learning methods to predict their enzymatic function and characterize their molecular recognition properties Using
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genomic and epigenomic data (miRNA sequencing, DNA-methylation), transcriptomics, metabolomics, lipidomics, and proteomics data. Your tasks You will integrate different layers of OMICS data (both cross