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- Nicolaus Copernicus Astronomical Center
- Wrocław University of Science and Technology
- IS-Wireless (ISRD Sp. Z O.O)
- Institute of Nuclear Physics Polish Academy of Sciences
- Mossakowski Medical Research Institute, Polish Academy of Sciences
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- Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology
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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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development experience, and simulation/prototype development experience in MATLAB, Python, and/or OCTAVE and experiences in system level simulation and testing. Focus on problem solving and self-motivated
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will be an additional advantage Practical programming skills (Python, LabVIEW) English language proficiency at a minimum B2 level Research enthusiasm, patience, and strong motivation for experimental
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education at the doctoral school is suspended). Additional desired qualifications include: Good programming skills (e.g., Python, Fortran, C, or C++); Familiarity with star cluster dynamics, stellar or binary
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) and immunoassays (ELISA); Bacterial culture and transformation; molecular cloning; Experience with immunocytochemical techniques and fluorescence microscopy; Programming in Python; Independence and
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particle physics phenomenology -programming in C++ and/or Python -fluent knowledge of English language Welcome: experience in Monte Carlo methods and statistical modeling experience in QCD phenomenology
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Specific Requirements Ability to work and collaborate in research teams in a competitive environment. Other requirements: Programming skills (C, C++, Matlab, Python, LabView) Knowledge of data communication
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Wrocław University of Science and Technology / Faculty of Information and Telecommunication Technology | Poland | 3 months ago
collaborate on planned research tasks. Strong knowledge of modern AI tools and technologies in NLP, LLMs, and RAG. Programming skills in Python, including experience with machine learning libraries (e.g
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data integration data quality data analytics programming languages (SQL, Python, Java) Complementary IT skills: machine learning image recognition sensor technologies robotic technologies