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The Natural Language Processing Section at the Department of Computer Science invites applicants for a Postdoctoral Researcher in Natural Language Processing. Project Description The position
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that analyses the interactions of science, technology, and society. The department offers the English language master program 'Science, Technology, Society', as well as a number of course formats for
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either or both agent-based modeling and social network analysis/network science. The ideal candidate should be able to program in C or C and have experience working with tera-bytes of data. Preference
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international degree granting program Additional qualifications (required at time of start) PhD or equivalent international degree. Preferred qualifications PhD in Computer Science or closely related field
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science field with a strong interdisciplinary orientation that analyses the interactions of science, technology, and society. The department offers the English language master program 'Science, Technology
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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publication-ready habilitation. You hold courses independently in the Bachelor programme „Languages and Cultures of South Asia and Tibet” and the Master programme “Languages and Cultures of South Asia” within
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or engineering. Fluency in spoken and written English is required. Proficient in at least one programming language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and
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cutting edge research work, develop novel computational tools and integrate new strategies for the safe and sustainable use of chemicals and materials. Your tasks Large-scale data analysis, programming and
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applicants will have:*Expertise conducting spatial and statistical analyses*Experience with scientific computer programming in R and Python*Formal training or experience applying quantitative and spatial