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English, econometric studies, programming in R or Python, writing in LaTeX, and 2 at least of: mastering difference-in-differences and regression discontinuity design methods and their application, topic
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to continuously learn new skills, methods and concepts, and 2) to enjoy finding new solutions in the face of new and unforeseen difficulties. The ideal candidate has very good 1) python programming skills, 2
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: mastery of variant calling protocols, programming/scripting languages (Python, R, bash), the use of computing clusters, and FAIR practices. This project also requires a good command of evolutionary genomics
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programming languages such as Python, Fortran, C, C++, etc.; statistical physics of liquids, etc.). A good knowledge of spoken and written English is also required. Website for additional job details https
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statistics and/or machine learning Specific knowledge • Proficiency in scientific computing • Knowledge of machine learning packages in Python or R • Proficiency in English (minimum level B2), as the postdoc
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: Python, Pytorch; proficiency in collaborative tools: Git Written and spoken English (B2) Ability to work interactively in a team Open-mindedness Ability to communicate Training in computer science
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the proposed algorithms in R or Python, such as methods for splitting periodic time series into regeneration blocks, and applying them to real biomedical datasets. The role requires the ability to effectively
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Eligibility criteria The skills required of the candidate are as follows: • Solid background in astroparticle physics • Strong programming skills, especially in Python • Experience in data processing
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are looking for a specialist in radiation–matter interactions with proven experience in Monte Carlo simulations and programming in C++ and Python. The candidate will work within a dynamic international
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of experimental statistics, signal processing and excellent programming skills (eg Python, R, ...). Previous experience with model-based fMRI experiments, advanced multivariate data analysis and computational