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, Physics, Computer Science, or a related field. Hands-on experience with computational materials methods (e.g., DFT, molecular dynamics, machine learning force field simulations). Proficiency in Python
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experimental plans. Ability to design and implement new experimental methods. High-level expertise in the required experiment or modelling methods. Ability to initiate collaboration research in multidisciplinary
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experimental methods. Oversee and report project progress. We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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scientific industry. Demonstrated ability to formulate hypothesis and design effective experimental plans. Ability to design and implement new experimental methods. High-level expertise in the required
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manufacturing Definition of appropriate material stacks, materials and processes products from chemical and mechanical aspects Chemical characterization of materials within component specifications Chemical
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activities in the project. The role will focus on development of direct ammonia solid oxide fuel cells. Key Responsibilities: Literature review of SOFCs and the preparation methods Synthesis, fabricate and
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environmental aquaculture. This role involves research and development in AI-assisted methods for anomaly and fish stress detection, aiming to demonstrate early disease warning platforms outperforms traditional
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Development of new multidomain simulation platform for electric motor drives Development of new fabrication methods for electric motor drives Experimental testing for motor system Job Requirements: PhD degree
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experimental plans. Ability to design and implement new experimental methods. High-level expertise in the required experiment or modelling methods. Ability to initiate collaboration research in multidisciplinary
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characterization using techniques such as XRD, SEM-EDS, and related in-house or collaborative methods. Analyze structure–property relationships and contribute to feedback loops that guide AI-based predictive models