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High Performance Computing on CPUs and GPUs experience with simulations on supercomputers producing large volumes of data proficiency in Fortran, Python, shell scripting, and processing simulation data
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for the following as soon as possible one student assistant (f/m/d) for 10 hours per week You will contribute to the survey methodological research of the data, including the preparation, testing, analysis and
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for Infection Research) in Braunschweig. The research should focus on the systematics and evolution of microorganisms, as well as on the integration of big data methods, comparative genomics, modern
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good methodological knowledge in the field of quantitative empirical social research and confident use of statistical programs (preferably Stata) Experience in questionnaire design and data collection as
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potential data users, including those involved in National Research Data Infrastructures (NFDIs ), to identify data security needs and opportunities. You will be able to apply your skills in handling large
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insights from evolutionary biology, political science, and computational social science. Your tasks and duties Supporting researchers with tasks such as literature reviews, empirical data collection
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mass spectrometry analyses, including experimental design, data acquisition, and data interpretation. This role involves developing and optimizing methodologies, assisting users from diverse research
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related field Demonstrated experience in geospatial analysis (GIS) and proven skills in hydrogeological or hydrological modeling Proficiency in programming (e.g., Python) Ability to handle large datasets
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Science Award Infrastructures INFRASTRUCTURES Research Infrastructures in the Leibniz Association RESEARCH INFRASTRUCTURES IN THE LEIBNIZ ASSOCIATION Information infrastructures e-Infrastructures Large
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d) Your tasks: Support in processing satellite and UAV remote sensing data on cloud platforms Adaptation and optimization