47 power-electronic-"https:"-"https:" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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acquisition using LabVIEW is helpful. Key Competencies Strong experimental skills and theoretical knowledge in electronic circuits, and RF or DSP design, with the ability to apply hands-on prototyping and
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outputs across Projects 3-1 and 3-2 Manage and process large sets of operational data for case study analysis Contribute expertise in power grid optimisation to enhance planning models Participate in
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will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
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of electronics, including circuit design, PCB layout, and hardware troubleshooting. Has relevant competence in the areas of Radio Frequency design and measurement; Familiarity with high-power amplifier systems is
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healthcare partners. Job Requirements Bachelor's degree with 5+ years experience OR Master's degree with 2+ years experience in Biomedical Engineering, Mechanical Engineering, Electrical / Electronic
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for: Conducting research and development on AI-based solutions for automated defect inspection and condition assessment of train components by designing and developing deep learning, computer vision, and machine
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coding . Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous. Knowledge of machine learning, pytorch, huggingface etc... Knowledge
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multiple LLM-powered agents operate concurrently to explore user-generated worlds and trigger diverse contextual scenarios. Develop a unified multimodal detection pipeline that integrates video, audio, and
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with 5+ years experience OR Master's degree with 2+ years experience in Biomedical Engineering, Mechanical Engineering, Electrical / Electronic Engineering, Computer Engineering, HealthTech, MedTech
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(XRD) iii. Scanning Electron Microscopy with Energy Dispersive X-ray Spectroscopy (SEM-EDX) iv. Thermogravimetric Analysis (TGA) v. Isothermal calorimetry vi. Fourier Transform Infrared Spectroscopy