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Field
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-domain context. Good knowledge of programming languages (e.g. Python, R, Java, C#, C++) Good knowledge of object orientation and at least basic knowledge of UML Knowledge in the field of machine learning
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skills (Python, R, Java, …) and interest to work in polyglot software environments Practical experience with machine learning and AI methods and an interest to learn, adapt and apply ML methods
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computer science with excellent performance? You are a highly skilled Java programmer? You have good knowledge in programming with scripting languages? You have a strong background in distributed systems, Edge
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computer science with excellent performance? You are a highly skilled Java programmer? You have good knowledge in programming with scripting languages? You have a strong background in distributed systems, Edge
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corresponding projects Your Profile: Master’s degree in computer science, bio/-cheminformatics or natural sciences Strong programming skills (Python, R, Java, …) and interest to work in polyglot software
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engineering Knowledge of machine learning (deep learning) Basic knowledge of computer science or software development, e.g., using Java, Python, or C++ Good communication and information skills, goal-oriented
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(e.g. Python, R) or a universal programming language (e.g. C#, Java, C++, Rust) Knowledge of the use of relational and non-relational databases Very good English skills (written and spoken) High
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qualifications will be considered. Experience of using machine learning algorithms and toolsets, ideally in a research context. Strong programming skills (e.g., Python, Java, C++) An interest in physiological
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on tropical value chains (cocoa, coffee, tea, palm oil, banana, etc.) and conducting research supporting the private sector with their monitoring, evaluation and learning is a must. You should have excellent
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analytical programming language (e.g., Python, R) or a universal programming language (e.g., C#, Java, C++, Rust) Knowledge of the use of relational and non-relational databases Very good English skills