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Field
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skills (Matlab/Python coding, user-defined FE routines, …), o theoretical (mechanical) analyses, o microstructure-based simulations (using experimental microstructures) o materials and microstructure
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of the project interests: you should have a strong interest in statistical theory, methodology and implementation programming skills: you should have excellent programming skills in R/Python proficient
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degree) in (applied) physics, electrical engineering, or related subjects. Solid background in quantum optics, quantum mechanics, and photonics. Knowledge of programming languages such as Python and MATLAB
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skills; Excellent programming skills (preferably Python and/or C++); Excellent proficiency in English (oral and written). Flexibility regarding working on-site with the diverse project partners. If you
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strong affinity for language data; solid programming skills (e.g., Python) and experience with machine learning or NLP, ideally including transformer-based models and word embeddings; excellent English
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in neuroimaging methods. You have experience with computational modelling and/or quantitative data analysis, preferably using tools such as Python, R, MATLAB or similar software. You have an affinity
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want to develop your academic profile in mathematical statistics. You are proficient in English. Good scientific programming skills, e.g. in R, Python, C++, Julia, etc. Additional Information Benefits As
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) Physics Knowledge of experimental atomic, plasma and/or laser physics is an asset, especially if combined with strong hands-on laboratory skills Programming experience, particularly in Python, is welcomed
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demonstrated in previous projects. Research experience in the related areas is a plus but not required. Good programming skills (e.g. in C/C++, Rust or Python) are also a plus. Additional Information Benefits A
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with Python, ImageJ, and/or MATLAB is highly beneficial for image processing and data analysis. Communication: Excellent written and spoken communication skills in English are essential for effective