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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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, software development, and research experiments. Contribute to the development of working prototypes and demonstrations for mobile biometric systems utilizing federated learning architectures. Prepare
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responsibilities in the project. Develop digital twins of the detailed electrical power system architectures of various e-vessels based on the concept design in real-time simulation environment such as OPAL-RT and
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team to develop/produce/investigate a web-based Ship Simulation and Optimisation Software Platform. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI
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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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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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Contract Length: 24 months Lead the Charge in Cutting-Edge Research. This is an exciting opportunity to join a vibrant project as a Research Fellow in the School of Architecture, Technology and
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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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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