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of data analysis modules for the LHCb experiment. Requirements for the candidate: Proficiency in C++, python and HEP software framework. Additional assets: Experience in baryon producion or baryon decay
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of English At least intermediate programming skills in C++ At least intermediate programming skills in Python Familiarity with packages such as scipy/numpy, pandas, Jupyter Ability to work in a Linux operating
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., the Nature portfolio). Advanced programming skills in Python, R, and Unix/Linux environments. Expert-level ability to develop reproducible analytical pipelines and robust statistical modeling frameworks
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#, Java, Python, Kotlin, and Go, programming in Linux and Windows environments, and the ability to use programming tools in virtual and cloud environments Knowledge of web technologies: ASP.NET, ASP.NET MVC
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mathematical modeling Programming skills using PYTHON confirmed by publications/certificates or participation in projects where this programming language was used Fluent knowledge of English confirmed by
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of structured and unstructured data, web programming and high-level programming languages, Python or R programming language in particular. LanguagesPOLISHLevelMother Tongue LanguagesENGLISHLevelExcellent Internal
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, LabView, Python programming); - Practical experience in laboratory work in the topics corresponding to the project topics will be an added advantage; LanguagesENGLISHLevelExcellent Research FieldChemistry
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to candidates with knowledge of data extraction and processing techniques (e.g., Python or R programming languages used in data analysis), tools for obtaining and processing data from digital platforms (e.g
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Research Assistant/Assistant Professor (Postdoctoral Researcher) for the project 2025/57/B/NZ8/03444
ecosystems, statistical data analysis, programming and data analysis using languages such as R and/or Python. Experience in conducting scientific research related to ecology, environmental monitoring
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the contract period; 3. Experience in implementing neural rendering models; 4. Practical experience in the analysis of scientific data; 5. Proficiency in programming with Python; 6. Familiarity with the neural