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programming or scripting (e.g., Python, Bash, or similar) for workflow automation and data analysis. Familiarity with common tools for structure-based molecular modeling or virtual Ability to think critically
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/undergraduate students. The role requires expertise in experimental design, data analysis, and effective communication to produce high-quality results that align with the lab’s goals. Key Duties
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challenges, from mitigating the impacts of natural hazards and sustaining our habitat amid global change to responsibly managing georesources. We are part of the Helmholtz Association, the largest German
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candidate will be involved in a research project focused on the exposure to carcinogenic chemicals in the general population, using a multi-matrix approach. The main analytical work will involve
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can use and combine various cutting-edge data modes such as single-cell ATAC-seq, single-cell RNA-seq, spatial gene expression, and whole-genome sequencing. The candidate will get the opportunity
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controlling cancer cell biology. Your research focus will be on (1) the molecular mechanisms underlying the action of the oncoprotein MYC; or 2) the role of chromatin remodeling complexes in regulating access
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scientist with a strong biological background to lead experimental work at the nano–bio interface. The ideal candidate brings a track record evidenced by a solid publication record. Our research centers
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, cloning etc.) Preferably knowledge in the characterization of microbial rhodopsins Skills in data analysis with Python Excellent organizational, interpersonal and communication skills The ability to work in
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of one-year duration but is potentially renewable for an additional one to two years, depending on performance and available funds Responsibilities Assists research faculty with participant recruitment
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RNA-seq data for testing and validation. Perform data analysis on large-scale RNA-seq data in pediatric cancer. This may involve the analysis of both scRNA-seq, bulk RNA-seq as well as new single-cell