38 expert-system-knowledge Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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Requirements Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Have relevant knowledge in the areas of shipboard system design, FMECA and reliability analysis
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learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real-time systems. Working knowledge of distributed systems and container technologies
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package is preferred. Candidate preferably should be familiar and have sufficient experience in using FDS and ANSYS FLUENT, Meshing tool and post-processing software. Key Competencies: Proficient in
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that are relevant to industry demands while working on research projects in SIT. The primary purpose of this role is to deliver on a collaborative research project, Proteins for Singapore (P4SG), where you will be
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the R&D Team Knowledge in skid module base and PLCs programming will be highly preferred Possess good Solid-works skillset and/or ASPEN HYSYS/3D simulations expertise Sound knowledge in applying AI
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ensure proper operation and maintenance of equipment. Job Requirements PhD degree in electrical/civil/mechanical engineering or other related fields Expert knowledge of building air-conditioning and
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proper operation and maintenance of equipment. Job Requirements Has a bachelor’s degree in Electronics; Specialization in RF/Microwave or Digital Signal Processing (DSP) is preferred. Has solid knowledge
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technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques