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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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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
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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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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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and have basic knowledge of R programming You are fluent in English, can work in a team, and are open to interact with international peers We offer: A vivid and interactive environment with
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candidate (m/f/d) has expertise in population genetics, computational data analysis and microbial evolution, with a solid understanding of quantitative statistics and programming (python, R, matlab etc
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or transnationalization research. Job description: - carry out extensive online literature searches & summarize findings in English - quantitative analyses of data sets with STATA or R - provide general project assistance
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Friedrich Miescher Laboratory of the Max Planck Society, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
large, high-dimensional single-cell datasets and expertise in computational tools such as Python and/or R are required. Additional experience in the following areas would be a valuable asset: Reference
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computer skills for text and image processing (Word, Excel) Experience with statistical analysis programs like R Experience with image editing and processing software like ImageJ, Photoshop Experience with
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, or a related discipline Interested in climatology/meteorology as well as quantitative methods Prior experience in programming is a plus (e.g., using R or Python) Good communication skills and a high