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Field
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Matlab, Python, R and/or C++ (advanced level). These will be assessed based on accredited training hours (0.5 points for every 10 hours of training, up to 5 points for each course) and accredited project
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another quantitative social science. Proven skills in empirical methods and proficiency in at least one programming or scripting language (e.g., R, Python, Stata). - Experience with the integration and
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the implementation and testing of algorithms. * Strong programming skills in R or Python. * Familiarity with data science and visualization libraries in R or Python. * Experience with GitHub, conda environment and
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measure leg-generated forces. Investigate relationships between neural activity, muscle properties, and joint movement. Code in MATLAB or Python for data analysis, modeling, and tracking tasks. Assist with
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knowledge of an interpreted language (Python, R, etc.), the knowledge of Netcdf format would be a plus, writing scientific articles (at least one publication as 1st author in a peer-reviewed journal
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Knowledge and experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical methods in the context of biological systems Experience with programming (Python, Perl
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, Matlab, Python or R) Demonstrated a high level of expertise in analysis of large and complex datasets Detail-oriented and excellent communication skills Excellent command of written and spoken English
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, • in-depth knowledge of machine vision principles and image processing, • programming experience, preferably in Python, • practical experience with the design and testing of simple electronic circuits
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(especially fMRI), experimental design, data analysis and programming (e.g., SPM, MATLAB, Python, R,…), scientific writing, and very good organization and communication skills. The ideal candidate is able
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Learning; good command of Python programming language; competence in English at least at the C1 level *; competence in Polish at least at the C1 level*; * in accordance with the Common European Framework