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economics; proficiency in statistical software is strong asset; good analytical and communication skills, both verbal and written; fluency in English. We offer you Wageningen University & Research offers
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, analysis, and interpretation, with candidates having the opportunity to develop skills in statistics, epidemiology, and environmental science and more, enhancing their ability to work across disciplines. It
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qualifications:- you have completed or are close to completion (about to submit/defend) of your Master in Computer Science, Electrical Engineering, Statistics, Robotics or a related field- strong background in
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, Computer science, Mathematics, Statistics, Engineering or related fields) interested in learning and developing Network and Machine Learning tools for the analysis and construction of Knowledge Graphs
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master’s degree in a relevant discipline (Physics, Computer science, Mathematics, Statistics, Engineering or related fields) interested in learning and developing AI-assisted tools for information extraction
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will supervise the mechanistic aspects of the project.•Dr. Douwe Molenaar, associated professor is an expert in microbiology, bioinformatics and multivariate statistics. He will supervise the data-driven
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writing skills are a plus. Knowledge of Dutch is recommended, willingness to learn Dutch is necessary to work with surveys. Knowledge of statistics. Main responsibilities To plan and perform a research
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loss data. Computing skills including experience in advanced statistic programming languages (R and/or Python), remote sensing and GIS software (Google Earth Engine, ArcGIS and/or QGIS). Demonstrated
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. Basic computing skills including some level of experience in advanced statistic programming languages (e.g., R). Previous fieldwork experience working with Indigenous Peoples and local communities. A
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that to others, and know when to apply which method. You have a rigorous statistics training in causal inference, and a strong command of Stata and/or R have, at the time of appointment, completed a