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Phase-0, the candidate will contribute to detailed data analysis, student supervision, and the dissemination of scientific results. The data obtained will advance our understanding of nuclear shape
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chronic autoimmune diseases of the nervous system. In this project, transcriptome data will be analyzed using state-of-the-art cell-based transcriptomics methods (single-cell RNAseq, single-nucleus RNAseq
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or related with strong bioinformatics background) (m/f/d) with focus on the analysis of cutting-edge liquid biopsy proteomics, transcriptomics and other omics data sets related to blinding diseases, such as
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experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and machine learning methods in the context of biological systems Experience with programming (e.g
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. Severely disabled persons are given priority in the case of equal suitability. For further information, please contact Fr. Dr. Ekaterina Legchenko (ekaterina.legchenko@medma.uni-heidelberg.de ), phone +49
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the development of computational methods for genetics, high-throughput omics data and causal discovery. Our interdisciplinary and international team is jointly located at DKFZ and EMBL Heidelberg, and
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that you do not yet have a ZAB Statement of Comparability for your qualification, please be aware that you will need to request this if your application is successful. You can find further information
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a German job ticket (Deutschland-Ticket) at both locations. For further information please contact Martin Burger at 040-8998-4565 (martin.burger@desy.de). Please submit your complete application
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recruiting is decentralized - your application will be reviewed directly by the specialist department in which you could work in the future. More information about our application process Please send your
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Researcher / Postdoc for molecular investigations on microbial ecology in deep-sea polymetallic n...
nodules) in combination with data on metabolic rates, and sediment biogeochemistry will form the basis of the work. Further sampling and measurements will take place in the CCZ as part of the project