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inspection system that are fabricated by robots and multimodal sensors. Development of analytic models, simulation, and optimization for the quality inspection systems. Development of a predictive model for
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of design rules for 3D printed parts that are fabricated by various additive manufacturing (AM) and hybrid manufacturing processes. Development of analytic models, simulation, and optimization for the AM
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optimization for the AM processes and design automation for AM process. Development of a predictive model for AM and hybrid manufacturing processes using Digital Twins Development of 3D printing technology
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The appointees will assist the project leader in the research project - “Mechanism and optimization for hospital bed sharing”. Qualifications Applicants for the Research Fellow posts should have a doctoral degree
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: Final integration of the scheduling optimization module into the Koachy platform. Preparation of technical documentation for the developed system. The work will be carried out at the Laboratory
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on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in graph-based prediction. What we’re looking for: A PhD in Electrical and Computer Engineering or a
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acceleration. We focus on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in event-based vision. What we’re looking for: A PhD/Master in Electrical and Computer
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At the School of Mathematical Sciences, the Operational Research group is seeking to appoint a full time research fellow for a fixed period of 6 months from December 2025 or afterwards. The Role
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of seasonal pCO₂ cycles in the PISCES model by integrating observations from BGC-Argo floats. The approach will leverage data assimilation through a particle filter and ensemble-based parameter optimization
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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 Minimum Number of References