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, in vitro transcription, northern blotting, etc.). Knowledge of UNIX/Linux computing environments and of a programming language (e.g., Perl, Python, Rust, C++, R, etc.). We offer you in accordance with
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forms from land via inland waters to sea. You will synthesise, test, and use the reported methane kinetics from labs and culture experiments to construct the model using Python programming language. You
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-footprint), emission models (e.g. IPCC, EMEP/EEA) and tools (e.g. Simapro); experience in programming languages (e.g. Python) to develop methods, models and tools is considered a strong plus. excellent spoken
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interest in environmental health and Exposome research; expertise in programming and quantitative data analysis, including machine learning in R/Python; affinity with bioinformatics; strong collaboration
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(python or similar) or are willing to obtain these, and you like to work with large datasets Enthusiastic, pleasant and intrinsically motivated colleague who takes initiative; For this position your command
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major programming language, such as Java, C/C++/C#, Python, and preferably in several languages; proficiency in the Linux operating system and deployment and configuration of virtualised environments
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flexible in the programming languages implementations. Mostly, we work in Python, but we aim to use the language best suited to the problem. Other programming languages we currently work with include: R
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analytical socio-technical skills, including statistical analyses Proven programming experience using Python, R, or others (We will not consider applications that do not showcase that) Having experience
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, ecosystem function measurement); Basic skills in satellite image analysis; Affinity and experience with data analysis and visualization in R, Python or equivalent; Excellent English language skills, both
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languages (e.g. Python) would be an asset. You should also have good interpersonal and communication skills and should be able to work in a multi-cultural environment, both independently and as part of a team