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Qualifications Research experience with unsupervised and weakly supervised CNN and RNN architectures such as GANs, contrastive Learning, multiple instance learning, and transformer models Experience with
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conditions, such as waves, currents, and wind. • Develop models to assess the dynamic response and interactions between floating modules. 2. Finite Element Modeling (FEM): • Utilize FEM software to analyze
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apply - Coursework in architecture or other department with significant experience in 3D making - Demonstrated proficiency with 3D design and creative making technologies and knowledge of current and
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Columbia University may apply - Coursework in architecture or other department with significant experience in 3D making - Demonstrated proficiency with 3D design and creative making technologies and
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Architecture, Marine Engineering, Mechanical Engineering or related field. Proficiency in hydrodynamic modeling tools (e.g., ANSYS/Star CCM/Fluent/Open Foam etc.) and finite element analysis software (e.g
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or any relevant software and tools • Keen interest in Cities • Strong background with extensive experience leading research projects would be an advantage • Excellent written and verbal
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independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field
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: Computer Architecture Algorithms and Optimization Health Research Human-Computer Interaction Machine Learning and ML Foundations Machine Perception Natural Language Processing (including Information
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methods in cognitive science such as cognitive architectures, Instance-Based Learning models and Reinforcement Learning. Flexibility, excellence, and passion are vital qualities within CMU. Inclusion
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collaborators and manage data-sharing protocols. • Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD/Master’s in Naval Architecture, Ocean