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photonic components, and scalable integration technologies. The candidate will participate in the design, fabrication, integration, and characterization of lithium niobate and LN-on-Si photonic devices, and
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community to shape how the AI systems it depends on handle doubt and disagreement. At that stage, the Research Fellow will design and facilitate co-design sessions with these communities, develop methods
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at least one mainstream deep learning framework (e.g., PyTorch, JAX) • Expertise in (atomistic) thermodynamic, kinetic simulations or computational chemistry • Ability to independently design and
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to the electrification applications including electrical motor drives for transportation systems (land and sea) Thermal/cooling management, integrated (inverter-motor) system design and development, motor (vernier and
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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
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research-oriented post-professional master's degree, or a research-focused master's degree. Potential fields of study include architecture, urban design, urban planning, urban history, urban policy, urban
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learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL • Organic synthesis, polymer chemistry, synthesis
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Job Description Job Alerts Link Apply now Research Fellow (spintronics) University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Materials Science and Engineering
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://www.ntu.edu.sg/cceb) The Huiling Shao (Asst Prof) research group aims toward computational design of new organometallic catalysts and peptide drugs via: 1. Comprehensive mechanism elucidation via
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into the full autonomy stack Evaluate tradeoffs between learning-based and classical approaches and make principled architectural and design decisions Lead the preparation of publications, technical reports, and