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modelling and system identification of mechatronic systems You have proven experience in Python You have experience in or understanding of physics-based modelling and data-driven modelling You have experience
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in numerical methods and programming (e.g., C++, Python). Experience with DEM, multiphysics coupling, or reactive transport is a strong advantage. The position offers a dynamic research environment
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, Applied Mathematics, or Computational Physics/Chemistry with a strong ML focus. Technical: Deep understanding of Deep Learning (Transformers, GNNs, Auto-encoders). Programming: Proficiency in Python and
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skills required for this project are as follows: * Proficiency in statistical tools (at least one of the following software programs or languages: Stata, R, Python) * Strong background in applied
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knowledge of English, both written and spoken Requirements for the position are: experience of programming for data analysis, for example in Python, MATLAB, R, or similar collaborative and able to work in a
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, biomedicine, biotechnology, or another relevant field. Documented experience in programming or quantitative data analysis, for example in Python, MATLAB, or similar environments. A strong interest in method
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communication skills. Good ability to cooperate. Very good knowledge of English, spoken and written. Good programming skills in Python and/or C++. Other qualifications For the doctoral programme in question
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to the third-cycle studies, e.g. professional experience. Knowledge of computer vision. Knowledge of deep learning. Good programming skills in Python or C++. Experience with machine learning frameworks such as
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. Programming experience in at least one language such as Python, MATLAB, or C/C++. Strong analytical, quantitative, and problem-solving skills. The ability to work effectively both independently and as part of a
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. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with analytical techniques such as ANOVA, PCA, Regression, and Multidimensional Scaling (MDS). Experience in ecosystem