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Field
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and GIS experience are required, as well as documented experience with data management and statistical analysis using STATA or R. The evaluation will take personal qualities, such as willingness
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engineering, hydrology, computational sciences, systems modeling, applied mathematics, or a related field. Preferred Qualifications: Demonstrated expertise in quantitative modeling and data analysis
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computational skills for data analysis and visualization Good communication skills in English and French Ability to work independently and in a multicultural team Our offer Access to Max Planck Institute state
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machine learning, deep learning, data visualization, and applied analytics for multi-modal datasets. Technical proficiency with Python, R, SQL, SPSS, Tableau. Architectural and design software expertise
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languages and data analysis tools such as Python, Matlab, and R. Proficiency in GIS software (e.g., ESRI ArcPro). Strong written, oral, and visual communication skills. Responsibilities Research- Under
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applicant should have prior experience in data analysis, data visualization, and preferably the development of interactive web-applications through approaches such as Bokeh, Shiny, Taipy, Streamlit etc
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: • Demonstrated expertise in quantitative modeling and data analysis. • Proficiency in at least one of the following: hydrologic modeling, energy systems modeling, systems simulation, or machine learning/AI
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following: Data Science, Machine Learning, Computational Social Science, Big Data. Relevant skills could include statistical analysis, data management and collection, causal inference, network analysis, graph
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writing) is mandatory. 4. Strong ability in data analysis and visualization is required. 5. Knowledge of French or Chinese is an asset. • International Experience: Prior research experience abroad is highly
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visual representation and analysis of large-scale 2D/3D scientific data. This position resides in the Data Visualization Group in the Data and AI Systems Section, Computer Science and Mathematics Division