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publishing scientific results in high-quality scholarly journals. Language skills: Good command of the English language (speaking and writing) is essential The successful PhD candidate is expected to work full
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interpret complex data. This can be demonstrated by submitted certifications, academic papers or transcripts. Proficiency in written and spoken English. The candidate(s) should submit a research plan for the
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unified dataset Perform data analysis Conduct analysis and synthesis of results, and prepare scientific manuscripts Support the teaching activities of supervisors Applicants should fulfill the following
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machine learning frameworks (TensorFlow, PyTorch, Scikit-learn) Familiarity with multi-domain simulation tools (e.g., Matlab, Simulink, Octave) and modeling techniques Experience with AI, ML methods of time
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systems, or a related field Clear interest in industrial diagnostics, AI, and hardware/software co-design Good command of English (spoken and written) Strong analytical and documentation skills Experience