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environments High proficiency in writing code for data analysis (e.g. using R / Python) and using relevant software Demonstrated capability of writing for publication in high-impact academic journals Excellent
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epidemiology, pharmacogenomics, statistical genetics, or population genetics and experience in statistical and computational analyses of high-throughput omics data Ability to code in one or more scientific
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benchmarked through comparisons with traditional PSHA models. The work will involve developing reproducible open-source codes and participating in an international research network linking seismology, geodesy
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. Postdoctoral Researcher – Automated Correlative Image Analysis for BlueMaterials Reference code: 992 Work location: Rostock Join the Cluster of Excellence “BlueMat: Water-Driven Materials” (www.tuhh.de/bluemat
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The Department of Biotechnology and Food Science, Institute of Computational Biology is currently seeking a Postdoctoral Research Associate (Reference code 216) Extent of employment: 40 hours per
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regulatory circuitries driving disease-relevant cells and seek to understand how mutations in the non-coding DNA of such cells can drive disease, including cancers, through gene misregulation. The successful
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reliable – can manage competing priorities, maintain well-structured code and documentation, and meet project timelines. Curiosity and initiative – motivated to learn new methods, improve workflows, and
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accordance with the provisions of the German Social Code IX. In case of further queries regarding gender equality, please do not hesitate to contact our Equal Opportunities Officer. “Diversity in perspectives
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, biomedical engineering, or a related field. • Experience with coding software such as Python, R, or Matlab. • Familiarity with collaborative coding software such as GitHub and database management
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, pharmacogenomics, statistical genetics, or population genetics and experience in statistical and computational analyses of high-throughput omics data Ability to code in one or more scientific programming languages