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Max Planck Institute for Intelligent Systems, Stuttgart site, Stuttgart | Stuttgart, Baden W rttemberg | Germany | 16 days ago
, analyzing behavioral data) Familiarity with data analysis tools (e.g., Python libraries, R, or MATLAB) Exposure to UX methods, cognitive science, or psychology experiments Our offer An international
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such as R or Python, and word processing and spreadsheet programs Very good data processing skills, ideally with a focus on remote sensing Very good written and spoken English and German (each at least B2
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molecular biological methods interest in the interactions between ecology and public health basic programming skills (e. g. Python, R) will be a plus knowledge in entomology will be useful good command
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biochemistry, molecular biology, biophysics or a related field of the life sciences or engineering. Solid understanding of RNA biology, ribosome and translation mechanisms Experience with R, Python or MatLab
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results in the context of the latest scientific literature to address key R&D questions Collaborate closely with interdisciplinary teams at the research center as well as national and international partners
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scientific literature to address key R&D questions Collaborate closely with interdisciplinary teams at the research center as well as national and international partners from academia and industry Present your
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at enhancer sites, often forming R-loop structures, may be more important than the specific eRNA molecule itself. This leads to the hypothesis that eRNAs play a crucial role in the formation and function
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. The working language of the lab is English; knowledge of the German language is not necessary. Experience in computational image analysis, deep learning, and strong coding skills (Python, R) are required
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Strong programming skills (e.g. Python, R, C/C++) and experience with highthroughput sequencing data Solid understanding of RNA biology, transcriptomics and epitranscriptomics Desirable skills: Experience
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proficiency in Python and/or R; familiarity with working in a Linux/Unix environment; fluency in English (both written and spoken); excellent communication and teamwork skills in an interdisciplinary