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are seeking a Research Fellow to contribute to a project focused on Numerical Methods for McKean-Vlasov PDEs. Key Responsibilities: Develop Numerical Methods for McKean-Vlasov PDEs/Master equations Job
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, TEM, XRD, AFM, XPS). Machine learning methods. High-throughput experiment design and data analysis. Scientific writing and communication. Data processing and visualization software (CrystalMaker
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Engineering Experience conducting empirical studies within the field of systems and software engineering Strong knowledge of qualitative research method (interviews, focus groups, case studies, grounded theory
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Responsible for developing LC-MS method for structural elucidations of natural carbohydrates Perform chemical biology assays to evaluate the bioactivity of natural and synthetic carbohydrates Job Requirements
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experimental methods. Oversee and report project progress. Ability and willingness to work some flexible hours. We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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development. Familiarity with popular path planning algorithms such as RRT, A*, and optimization-based methods. Hands-on experience with simulation environments such as Gazebo and Unity3D. Excellent verbal and
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lead research on next-generation solar harvesting materials, focusing on developing and optimizing synthesis methods for novel inorganic nanoparticles and quantum dots designed for solar-to-energy
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and materials processing methods for solid cooling devices. The candidate will play a crucial role in solid state chemistry synthesis, vacuum sealing, processing, characterization, property evaluation
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effective 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
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design effective experimental plans. Ability to design and implement new experimental methods. Ability to initiate collaboration research in multidisciplinary team. Oversee and report project progress