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Field
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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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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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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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Fellowship (BI) for a PhD Student 1 Research Fellowship(s) (BI) is(are) open at the FCiências.ID – Associação para a Investigação e Desenvolvimento de Ciências, for the project “i-DINSystem - Intelligent and
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outcomes into impactful publications. Key Responsibilities: Design and synthesize novel monomers and polymers Develop and optimize membrane fabrication techniques Conduct advanced material characterization
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topology optimization, generative design, and bioinspired design, SC3DP creates optimized products using a variety of novel materials and printing processes, including hybrid printing, post-processing, and
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. Support the supervision of graduate students and research assistants involved in the project. Job Requirements: PhD in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 1 day ago
, or related areas. 5. Academic Qualifications: PhD student in Industrial Engineering and Management. The following are preferential conditions for the evaluation of candidates: strong knowledge of Optimization