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of chiral catalyst, and optimization of enantioselective metal-catalyzed reactions. Key Responsibilities: Optimisation of enantioselective reactions Synthesis of catalysts Supervision of undergraduate student
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, please view https://www.ntu.edu.sg/newri . Key Responsibilities: Optimization of membrane fabrication parameters for targeted separation performance Design, synthesize and modification of polymeric
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a postdoctoral candidate in the area of federated learning and wireless communications. The candidate must hold (or about to complete) a PhD in the related fields. The candidate will be involved in a
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optimization. Focus on AI-assisted secure IC design, with domain adapted LLM, ML in front-end design, simulation tools for chiplet-based/oriented prototypes Investigate and apply AI principles for IC design, RTL
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notebooks and electronic files Your profile PhD degree in physics with solid knowledge of condensed matter physics, quantum mechanics, and magnetism Expertise in X-ray based magnetic imaging or scanning probe
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Job Description Job Alerts Link Apply now Job Title: Research Fellow (Water process prediction and optimization) Posting Start Date: 10/06/2025 Job Description: Job Description The Research Staff
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(PECVD) system. Design appropriate experiments for PECVD growth of boron nitride nanomaterials. Optimization of PECVD parameters. Perform and analyze SEM, TEM and Raman and other material characterization
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structured around two main pillars: Network resilience and sovereignty, i.e., research on networking architectures and mechanisms that keep critical networks and applications they support running optimally
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chip. A strong background in the design and fabrication of silicon photonic devices, advanced characterization techniques, and an interest in semiconductor materials optimization is highly desirable
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. The Variational Quantum Eigensolver (VQE) is one such optimization algorithm that helps determine the total energy of molecules. In the NISQ era, simulating molecules with more than 16 qubits is a hard problem