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energy-related systems such as lithium-ion and lithium-metal batteries. Familiarity with high-throughput simulation workflows and materials discovery pipelines. Demonstrated ability to design and fabricate
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. Independently carry out the design and execution of experimental research required by the research component of the project. Write and review research papers, present research outcomes, conceptualise new ideas
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to design and implement new experimental methods. High-level expertise in the required experiment or modelling methods. Ability to initiate collaboration research in multidisciplinary team. Oversee and report
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fields • Prior experience in analysing EEG data. • Possess strong programming skills (mostly Python) and familiar with statistical methods. • Have good communication and writing skills
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with Assistant Professor Marc Hon to develop and apply modern machine learning methods for the analysis of large-scale astronomical datasets, emphasizing time-domain astronomy. The research direction can
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. • Work with research partners from various governmental sectors to understand their requirements. • Uncover efficient methods to work with point cloud data derived from various forms LiDAR scanners
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develop and implement methods for assessing the nutritional profiles and safety of new crop strains. This research contributes to the university's mission of advancing public health and sustainability
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biocompatible materials, and associated methods Excellent communication and organizational skills while hard-working and able to meet tight deadlines Able to work independently in gathering information/ data and
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domains and formal methods Applying the developed research ideas and approaches to improve the software engineering process in Continental, especially requirement engineering and testing Conducting
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or his/her designate, including but not limited to the following: - Independently carry out the design and execution of experimental research required by the research component of the project. Develop