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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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. The successful candidate will have opportunities to collaborate with a broad global network of leading universities and research centers already engaged with the supervisory team. These collaborations include
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Supervisor: Tenured Associate Professor Serkan Turkmen, Estonian Maritime Academy: Estonian Maritime Academy: Green Maritime Technology Research Group Proposed Thesis: Towards net zero in Maritime Industry
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latency and network dependency. On the communication side, the system will utilize standardized industrial IoT protocols such as MQTT, OPC-UA, and Modbus TCP to enable efficient, secure, and low-latency
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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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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
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are orchestrated. The PhD project will investigate the dynamics and molecular mechanisms behind a unique membrane protrusion network, known as the Interplanar Amida Network (IPAN). This work will involve
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networks Support for international conferences, publications, and collaborations A stimulating and interdisciplinary research environment How to Apply The information for the PhD admission is available