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, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge relevant to the project domain. Demonstrated capability to conduct innovative
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, spectroscopies and catalysis, including material design and synthesis, structure analysis, catalysis measurement and data processing Good knowledge in Organic Chemistry and Physical Chemistry Experience in
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Safety research, including AI authenticity, accountability, and integrity of digital content. Strong knowledge of machine learning and deep learning techniques, including machine unlearning, and AI testing
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in Power Engineering or related field At least 5 years of relevant experiences and technical hands-on experience in motor development Familiarity with electric motor design and development Knowledge in
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knowledge in Li-ion batteries and machine learning techniques, as well experiment testing. Research experience with battery ageing analysis, machine learning model development. Excellent verbal and written
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and journals. To be involved in the mentoring of PhD/Masters/FYP students. Job Requirements: Preferably PhD in Computer Science, Electrical & Electronic Engineering, or equivalent. Background knowledge
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modification background Good knowledge of membrane-based gas separation process Good writing skills for proposal and report writing and publication in good academic journals We regret to inform that only
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programming languages such as C and Python Proficiency in deep learning frameworks such as Pytorch and Tensorflow Knowledge in imaging and computing device and equipment Good written and oral
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writing/presentation Job Requirements PhD degree in an engineering field related to this project Experience in dynamic modeling, machine learning and optimization & controls Having basic knowledge in carbon
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predictions for the spatiotemporal interaction between free electrons, photons and nanomaterials Publish high quality papers Requirements PhD in Engineering, Physics or related field Knowledge in classical