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* proficiency in the Python programming language and libraries dedicated to machine learning (e.g., PyTorch, PyTorch-geometric, Transformers) and chemical data processing (e.g., RDKIT, OpenBabel, deepchem
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Inventor, as well as experience in analysing experimental data using programming tools, in particular Python and C++ 5) experience in the design and construction of electronic measurement systems, including
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neurophysiological techniques, especially in vivo functional optical imaging (1-/2- photon) Coding skills, or ability to implement written scripts in R/Python/Matlab for data analysis. LanguagesENGLISHLevelGood
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written, in the case of foreigners, knowledge of Polish should be confirmed by a certificate, disposition at the primary place of work, i.e. Lublin University of Technology, advanced knowledge of Python, R
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skills in Python; good command of the Polish language, both spoken and written; documented proficiency in English, both spoken and written, at a level sufficient for conducting teaching and research
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Assistant for Research and Teaching (F/M) – 1 FTE (Division of Intelligent Decision Support Systems)
degree programmes, knowledge of programming languages and techniques: e.g. C/C++, Java, C#, Python, JavaScript, knowledge of general management of Windows, Linux, macOS and devices, proficiency in advanced
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/C++, Java, C#, Python, JavaScript, knowledge of the LaTeX document preparation system and the Microsoft Office suite, knowledge of general management of Windows, Linux, macOS and devices
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Łukasiewicz Research Network – PORT Polish Center for Technology Development | Poland | 2 months ago
. -At least one first-author peer-reviewed research article. -Working knowledge of Python; knowing additional programming languages (e.g., R) will be appreciated. -Anticipating projects related to constructing
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courses in English-language degree programmes, proficiency in programming languages, technologies, and frameworks, including C/C++, Java, C#, Python, SQL, HTML/CSS, JavaScript/TypeScript, React, Spring Boot
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of programming languages, technologies, and frameworks, including Java, Python, SQL, HTML/CSS, and JavaScript/TypeScript, knowledge of data engineering concepts, including data integration architecture, data