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survey methods and choice modeling. Programming experience is desirable, particularly with Java and/or MATSim. Excellent written and spoken English skills and working knowledge of German. We Offer An
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, Canada. Abundant Intelligences conceptualizes, designs, develops, and deploys Artificial Intelligence based on Indigenous Knowledge Systems. https://abundant-intelligences.net/ . The Toronto pod is
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required. Candidates should be able to teach graduate and undergraduate courses related to programming languages (Java/C/C++), data structures and algorithms, operating systems, databases, security
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programming skills, with proficiency in Python required. Knowledge in other languages (e.g. C, C++, R, Java, and/or Rust) is encouraged. • Experience in working with scientific computing ecosystems and/or
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engineering with a focus on traffic engineering, with very good grades. You bring solid programming skills in a higher programming language (e.g., Python, Java). You already work with traffic
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/model documentation, or FAIR data practices. Programming experience in Python, R, Julia, Java, MATSim, GIS tools, or related software. Experience working across disciplines or with stakeholders in
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experience will strengthen your application: Experience with Python, R, Julia, Java, GIS tools, MATSim, transport simulation, network analysis, or similar tools Experience with mobility data, transport
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skills on Data Analytics and Machine Learning, in particular on distributed ML. Must have very good programming competence in Python, Java, C/C++ or equivalent Fluent oral and written communication