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simulation; - Programming knowledge in Python; Minimum requirements: Previous academic background in electrical engineering, energy engineering, applied mathematics, computer science/informatics or similar 5
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requirements: Experience in fluid-structure interaction, numerical modeling, dynamic analysis of offshore structures and/or processing of sensor data. Skills in scientific programming (Python, MATLAB
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multiple analytic tools (e.g., SAS, R, Python, SPSS) and developing reusable, well-documented code. Strong data science and management skills, including preparing analysis-ready datasets, implementing
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/maintaining, isotope ratio mass spectrometers or similar Familiarity with software that can be used to process mass spectrometric data (R, MATLAB, Python), and some basic coding experience. Cooperation between
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. Fortran, Python, C++) An interest in working in a larger group, collaborating with industry. The opportunity to build a strong network with contacts at Airbus The opportunity to develop computational tools
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genetics is essential. You must be able to demonstrate expertise in statistical design and analysis. It is expected that you will be skilled in one or more programming languages (R, python, MATLAB) and
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data analysis using MATLAB, Python, C/C++, or equivalent tools. Experience: Demonstrated research experience through peer-reviewed publications in relevant fields. Experience in developing and
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, with demonstrable aptitude for both. Programming in R and/or Python for the analysis of sequencing and screening data. Experience in screen design, execution, and analysis is an advantage. Established
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, maintainable code in Python, R, or similar languages. Develop reproducible analytical workflows using notebooks, scripts, version control, and good documentation practices. Build prototypes, dashboards, data
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Computer Engineering, Engineering Physics, Aerospace Engineering or related areas. Basic knowledge of electromagnetics/RF. MATLAB/Python, RF instrumentation, electromagnetic simulation (CST or HFSS), 3D