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. Applicants should also demonstrate: High academic achievement in relevant undergraduate and graduate courses Proficiency in programming (C/C++, Python) and experience with ROS Practical experience in hardware
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considered: Programming skills in one or more of the following: Python, SQL, R, JavaScript Experience with statistical analysis methods (for example clustering analysis, regression analysis, ANOVA) Experience
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collaborate with others, have a professional approach and analyse and work with complex issues. Additional advantageous qualifications are Proficiency in numerical methods (FEM) and programming (Python, Matlab
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professional approach and analyse and work with complex issues. Additional qualifications that are advantageous (but not mandatory): Proficiency in numerical methods (FEM) and programming (Python, Matlab, C
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security - A very good knowledge in programming (such as in C, Java or Python) - In-depth understanding of computer systems (assembly code, compilers) Additional Information Work Location(s) Number of offers
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Computational Science or Data Science Compute-intensive Statistics or Applied Mathematics Proficiency in a relevant programming language, e.g., Matlab, Python, R, C/C++ is expected and practical or research
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related field, Knowledge in fluid mechanics and heat transfer, Programming skills (Python, MATLAB or equivalent), Strong English communication skills. Experience in multiphase flows, modeling, or AI methods
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, multiphase flows, or similar areas. A deep understanding of the physics and dynamics of fluid and thermal systems. Proficiency in programming and data analysis tools, such as Python and MATLAB (or equivalent
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you can say yes to some of the points below, it is highly beneficial: Proficiency in programming languages, preferably Python. Capable of analyzing large datasets Knowledge of AI and machine learning
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. Proficiency in programming languages such as MATLAB, Python, etc. Assessment criteria This is a career development position primarily focused on research. The position is intended as an initial step in a career