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publications representative of your work and research interests, ideally related to Riemannian Optimization. Contact Information Melanie Weber Contact Email mweber@seas.harvard.edu Equal Opportunity Employer EEO
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demonstrated expertise in real-world robotic applications. • Extensive experience in sum-of-squares (SOS) algorithm, hands-on experience in developing high-performance optimization solvers for robotics
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points, using advanced methodologies and cutting-edge technology. The results will contribute to improving public administration efficiency, promoting de-judicialization, and optimizing resource allocation
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methods for sparse optimization”. Qualifications Applicants for the Senior Research Fellow post should have a PhD degree, preferably in Mathematics with at least six years of postdoctoral research
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content and interface with the industry Ensure processes and procedures are executed in compliance to the University’s policy framework Constantly seek improvement for laboratory operations (e.g. reduce
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methods (e.g., SEM, XPS, in-situ XRD) to study sensor performance and degradation mechanisms. Contribute to system-level optimization of sensor signal quality and environmental stability. Prepare research
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quantum computing, the candidate will work on benchmarking of ansatz selection and classical optimizer of Variational Quantum Eigensolver (VQE) using quantum computing simulator both with noise and
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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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, 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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numerical solvers for 2D and 3D phase field models Develop HPC-ready simulation pipelines for large-scale rupture and fracture-fluid systems Optimize performance for modern architectures including GPUs and