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., Python, R, C/C++) and experience with high-throughput sequencing data. Solid understanding of RNA biology, transcriptomics, and epitranscriptomics. Desirable Skills Experience with Nanopore sequencing (RNA
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Biology, or a related discipline Experience in multi-omics data analysis and handling big data Experience with single-cell and spatial transcriptomic analyses is a plus High motivation and curiosity
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Apply online now: https://karriere.klinikum.uni-heidelberg.de/index.php?ac=application&jobad_id=26729 Postdoc - Molecular Biology Research in AML (f/m/d) Stellenanzeige merken Stellenanzeige teilen
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Cancer). Your profile PhD in Bioinformatics, Computational Biology, Data Science, or related field. Experience in multi-omics data analysis and/or drug screen data processing. Experience with HPC/cloud
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publications, diplomas, a two-page research proposal and contact information of two persons who can provide a reference letter. Please send your application electronically (one pdf-document
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sensor data, with applications in disease modeling and the development of material science-based innovations. These efforts aim to optimize system performance and uncover novel biological insights in close
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interpret data. Contribute to publications, presentations, and open-source tools related to the project. Your profile PhD in Bioinformatics, Computational Biology, Computer Science, Physics or a related field
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or natural sciences Sound knowledge in machine learning algorithms, statistical methodologies, and biological network analysis Experience with the analysis and integration of transcriptomic and multiomics data
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sciences and medicine. The Neuenheimer Feld Campus of Heidelberg University is the largest campus for natural and life sciences in Germany, where the Faculty of Engineering Sciences bridges material sciences
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research, education, and patient care. Closely affiliated with Heidelberg University and renowned institutions such as the German Cancer Research Center (DKFZ) and the European Molecular Biology Laboratory