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Field
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of programming languages such as C++, Fortran, Python, Julia. Soft skills in the context of scientific writing and presentation, including knowledge of the typesetting language LaTeX The candidate has to be fluent
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, or computational social science Have good programming skills in at least one of: Python, Julia, Rust, C++ Be excited and inspired by the proposed project area Be a self-starter with a highly collaborative spirit
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optics and ultra-thin 2D materials. • You have experience in academic writing. • You should have experience with the usual tools for advanced experiments: programming experience: MATLAB, Python
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quantum foundations. • You have experience in academic writing. • You should have experience with the usual tools for advanced experiments: programming experience: MATLAB, Python, LaTeX. • You have
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magnetoencephalography (MEG) and behavioral tests Data analysis using Matlab or Python (speech-brain interactions, synchronicity measurements, connectivity measurements between sources) Presentation and publication
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, Machine Learning, Artificial Intelligence, Mathematics, or similar (if the Master is not yet completed, please submit a short statement by the supervisor concerning progress) excellent coding skills (Python
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, surveys, meta-analyses, cost-benefit analysis you have some experience with chosen coding language, such as R or python you are enthusiastic about communicating research to academic and non-academic
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dynamical systems. Programming skills (Python, MATLAB, or equivalent). Interest in quantitative modelling of biological systems. Ability to work with interdisciplinary data (omics and imaging). Desirable
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one programming language: Matlab, Python, is expected. Eager to work within a team and independently. Ability to collaborate with industry and academic researchers. Fluent in spoken and written English
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development from spatial transcriptomics data. Activities : – design of a new mathematical method – monitoring and study of publications relevant to the field – programming/coding in Python (Pytorch