26 software-defined-network-phd Fellowship positions at Singapore Institute of Technology
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Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
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sufficient experience in using ANSYS FLUENT, Meshing tool and post-processing software. • Knowledge and interest in urban farming will be advantageous and willingness to work on plant growth with daylight.
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-informed neural network, transfer learning, and edge intelligence) for battery management systems that lead to publications in top-tier international conferences and journals, as well as real-world
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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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Engineering, Pharmaceutical Engineering. Possessing a PhD degree will be advantageous. Knowledge of functional properties of protein, and food hydrocolloids will be bonus. Able to communicate with the teammates
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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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. Proficiency in hydrodynamic modeling tools (e.g., ANSYS AQWA, OrcaFlex) and finite element analysis software (e.g., Abaqus, ANSYS). Experience with stability and mooring system design. Experience in designing
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with hardware testing and real-time simulation will be advantageous. Knowledge and experience in fault diagnosis and analysis and protection systems will be advantageous Knowledge of software such as
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. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements A PhD degree in computer or
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for undergraduate students. Interview and supervise student assistants in the project. Job Requirements: (Research Fellow) PhD in Computer Science or a related field (Research Engineer) Bachelor/Master degree in