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- International PhD Programme (IPP) Mainz
- PhD Programme "Gene Regulation in Evolution"
- University of Göttingen •
- Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE)
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- German Center for Neurodegenerative Diseases (DZNE)
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- Universitätsklinikum Jena
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interventions. Our recent proteomic study (Hartke et al. 2023) revealed that parasitic proteins, including antioxidants and epigenetic regulators, account for seven percent of all proteins in the hosts’ hemolymph
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to the nucleus and how do they influence gene regulatory functions? To address Q2 we will adopt two main approaches. First, a proteomic approach in which we will identify the BBS nuclear interactome via co
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Compensation based on TV-L (3200€-3700€ gross)** JOB DESCRIPTION The research group "Functional Proteomics" offers a PhD position in the framework of the MSCA Doctoral Network MobiliTraIN (Ion Mobility Mass
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memory. Activities and responsibilities The research group of Anton Khmelinskii offers the following PhD project: Protein quality control systems maintain a functional proteome through detection and
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research. » Your tasks Investigate the triggers and mechanisms of co-translational protein quality control processes using human cell lines and state-of-the-art biochemical, genetic, and proteomics
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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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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
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Deutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE) | Bonn, Nordrhein Westfalen | Germany | 2 months ago
from baseline and follow-up, including genomic and epigenomic data (miRNA sequencing, DNA-methylation), transcriptomics, metabolomics, lipidomics and proteomics data. Your tasks You will integrate
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(large scale genomic, transcriptomic, proteomic, metabolomic and/or single cell data) using cutting-edge technologies e.g. Artificial Intelligence (AI) Development of novel tools and algorithms in the area