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deployment; building research software (e.g., Python packages, database systems) and other open-source tools for computational social science research. Other potentially relevant experiences and skills include
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DISCIPLINE: Environmental Engineering, Mining and Power Engineering OR Mechanical Engineering DATE OF PUBLICATION: 27.03.2026 DEADLINE FOR SUBMITTING OFFERS: 12.04.2025 WEBSITE: https://www.komag.eu/praca KEY WORDS
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in computer programming (Visual Basic, Java, C++, Python), SQL, networking concepts, networking platforms, Windows server administration, computer repair, cybersecurity, and related courses. Defines
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development from spatial transcriptomics data. Activities : – design of a new mathematical method – monitoring and study of publications relevant to the field – programming/coding in Python (Pytorch
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expertise in object-oriented programming in Python, data modeling, and scientific workflows experience in collaborative Linux-based development using Git knowledge of Python-based type systems and schemas
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environmental and ecological data; knowledge of, or interest in, statistical data analysis using programming tools (R, Python, MATLAB, or equivalent); and the ability to work collaboratively in interdisciplinary
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using a range of specialised research techniques. Good knowledge of the R statistical programming language. Programming experience in C, C++ or Python is desirable. Excellent verbal and written
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; Knowledge of software such as Comsol, Lumerical, Optical Studio; Knowledge of programming languages: Matlab, Python; Ability to solve technical problems; Creativity and communication skills; Manual skills
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: Processing biomedical images of different structures of the human eye using specialized software (Matlab, Python). Data handling using statistical software and Excel. Experimental measurements in
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proposed by FLI and ALPAO will make it possible to tackle both the problem of speed, and that of spatial scaling in anticipation of the ELT. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre