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al., “Deep Transfer Learning for Fault Diagnosis”, IEEE Transactions on Industrial Electronics, 2020. • Zhang C. et al., “Graph Neural Networks for Power Systems”, Electric Power Systems Research, 2023
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Learning/Reinforcement Learning, LLM/MLLM, Generative AI, Neural Graphics, Graph Mining, Data Mining, AI agent, Natural Language Processing, Computer Vision Emerging Electronics and Energy Technologies
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projects and co-supervision mechanisms. Qualifications: PhD in Computer Science, Engineering, or a relevant domain with demonstrated AI/ML research experience. Equivalent industry experience may also be
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methods (e.g., filtering, factor graph optimization, moving horizon estimation) with learning-enhanced components, including meta-learning approaches for adaptive and generalizable estimation. The candidate
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Integration/manufacturing, Test, or packaging required. Relevant education and/or industry experience may be substituted as appropriate. Preferred Qualifications Master’s degree or PhD in semiconductor
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engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 10 Aug 2026 - 23:59 (Europe/Brussels) Country Poland Type of Contract Temporary Job Status Full-time Hours
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» Maritime engineering Engineering » Computer engineering Computer science Architecture » Naval architecture Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 23 Aug
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under internal company contract and in external collaborative projects etc. Key Qualifications: PhD in computer science specialised on data sharing, digital twins, distributed databases, AI, or a related
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graphs (ARGs). Research areas include statistical/quantitative/population genetics, genealogical inference, machine learning, genetic prediction, genome-wide association studies, scalable linear mixed
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: Mathematical Physics, Spectral Theory, Quantum Chaos, Large Graphs and Quantum Walks. Related areas such as Quantum Information can also be considered. This position is offered through the research funds