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with experimental software (e.g. Presentation, PsychoPy, E-Prime, Gorilla). You have experience in data analysis, visualisations and programming in R and/or Python. You have experience with statistical
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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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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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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
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production, purification and biophysical analysis. Experience in structural biology (Xray and/or EM) and python scripting would be considered an advantage. A relevant publication record demonstrating your
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framework and execution of projects > Understanding of financial products, market dynamics, and microstructure > Low-level computer languages like C++ or Python, Java, etc.; awareness of strength in
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(preferably python); has experience with methods and models to estimate techno-economic potential of renewable energy technologies; has knowledge and interest in the energy transition. Having detailed knowledge
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framework and execution of projects > Understanding of financial products, market dynamics, and microstructure > Low-level computer languages like C++ or Python, Java, etc.; awareness of strength in
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++ and Python programming languages. Experience in open source projects, GPU programming, distributed computing and cloud computing are considered to be strong assets. The position of Research Fellow at
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, Python, and R. The candidate should have a strong capacity to understand processes underlying pro-environmental behaviour from different perspectives, enabling them to simultaneously understand, use, and