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tools (e.g. ArcGIS, or QGISfor spatial data) • Experience designing and conducting qualitative research, particularly focus groups or interviews • Strong written and verbal communication skills
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, glycomimetics or related compounds. Demonstrated experience in designing and optimizing radical coupling reactions, including photochemical or electrochemical approaches where applicable. Strong organic synthesis
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environments in Unreal or Unity • Deep understanding of real-time rendering architectures and performance optimization • Experience designing scalable interactive systems • Strong computational background
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The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Fellow to work on the design, manufacturing, team building, and industrial promotion of an electrical
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and performance prediction; Finite-element electromagnetic analysis; and Machine topology development, design methods and optimisation. Your experience does not need to be in a particular machine
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spatial datasets • Evidence of research productivity Preferred Qualifications • Experience designing procedural modeling systems • Familiarity with Cesium, 3D Tiles, or geospatial streaming frameworks
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NTU’s global reputation for excellence in robotics and AI. Key Responsibilities Design and implement VLA models and world models. Develop and optimize deep learning algorithms to enable robotic arms
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industrial background. The key is having good hands-on experience in sustainable design and implementation, or the enthusiasm to pick up new skills. The postholder will have the full support of a large inter
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to two years of research experience in visual computing, deep learning, and/or brain-inspired circuit and system design, and must have no more than five years of post-qualification experience at the time
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experience in sensory neuroscience, neural circuits or neurodevelopmental disorders. Experience with animal models, electrophysiology, behavioural assays and genetic techniques. Proven ability to design