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experience in Python or similar programming languages, experience in Linux/Unix computer environments, and experience in statistical analysis and visualization very good written and oral communication skills
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++, Python, Java) Good written and spoken English skills (min. level B2) Good written and spoken German skills (min. level B2) What we offer: Working in a family friendly and collegial environment with
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way of working and quick comprehension; ability to quickly familiarize yourself with new concepts Enjoy scientific work in a cross-domain context. Good knowledge of programming languages (e.g. Python, R
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areas: Scientific programming using Python Data analytics and machine learning techniques Wind energy systems, operations, or related topics In addition, you should be able to work efficiently as part of
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research team; excellent communication skills. Good command of Python or a similar programming language is essential. Due to the international character of our research, proficiency in spoken and written
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one programming language (e.g., Python, Matlab, Stata, Excel, R). Fluency in English, both written and spoken. Familiarity with the policy context in The Netherlands, as well as the ability to write and
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tools like FEniCS and Python. Additionally, working on a high-impact, interdisciplinary project will strengthen problem-solving, critical thinking, and project management skills. The collaboration with
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monitoring. Familiarity with tools such as Python, MATLAB, or embedded C would be advantageous. Most importantly, this project is ideal for applicants who are motivated to tackle real-world reliability
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code via differential testing) We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C
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yourself quickly with new concepts. Enjoyment of scientific work. Very good/good programming skills (at least in Python and C++). Good written and spoken German (at least C1 level) and English. In-depth