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Electrical Power Engineering and Mechatronics. The Proposed PhD thesis topic: “ AI-Driven Battery Life Optimization for V2X-Enabled Software-Defined Vehicles ” Supervisors: Sup. Researcher Dr. Hadi Ashraf Raja
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beneficial: Working knowledge of statistics and usage of MATLAB or other software for statistical analysis; Experience with machine learning and data mining. Good Estonian language skills Application procedure
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tasks relevant to the project The following experience is beneficial experience with common scientific software (e.g., Matlab, Mathematica, Python, R) working knowledge of statistics supervision of BSc
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observation, and qualitative content or discourse analysis. Previous experience with qualitative data analysis software (such as Atlas.ti, NVivo, QDA Miner, or similar tools) is appreciated. Prior experience
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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
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team, capacity and willingness to provide assistance in organizational tasks relevant to the project. The following experience is beneficial experience with common scientific software (e.g., Matlab
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scientific software (e.g., Matlab, Mathematica, Python, R) working knowledge of statistics supervision of BSc students popularisation of science Specific Requirements Application procedure The information