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Eclipse Dataspace Components (EDC) — an open Java ecosystem that is currently the European reference for data space connectors. Be part of change You will build and run the CEADS data space demonstrator
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applications in agriculture. Strong background in AI, machine learning, and data analytics as applied to agricultural and environmental systems. Proficiency in programming languages such as Python, R, Java, or C
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applications in agriculture. Strong background in AI, machine learning, and data analytics as applied to agricultural and environmental systems. Proficiency in programming languages such as Python, R, Java, or C
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, and data analytics as applied to agricultural and environmental systems. Proficiency in programming languages such as Python, R, Java, or C++, and machine learning frameworks/libraries such as Pandas
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, Experience and knowledge in job related program, Experience managing Web Services, Experience using programming languages such as Java, C, COBOL, PL/SQL, Experience with firewall configurations, Must be
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interest in designing and conducting quantitative, qualitative or mixed-method studies Strong programming skills in at least one relevant language (e.g. C/C++, .NET, Java, Python, R, etc.) Experience
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analysis, computational methods, or technical projects Experience with Python, C/C++, MATLAB, Java, or other programming languages Experience with version control, Linux, databases, machine learning
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analysis, computational methods, or technical projects Experience with Python, C/C++, MATLAB, Java, or other programming languages Experience with version control, Linux, databases, machine learning
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1200 & 2200 and received an excellent grade. Knowledge / Skills / Abilities Proficiency in programming languages commonly used in INFO 1200 & 2200, such as Java, Python, or C++. Proficiency in
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and Experience: Proficiency in Java and/or JavaScript. Demonstrated proficiency in data analysis. Faculty recommendation. Other Details This position is available only to enrolled American University