81 evolution "https:" "https:" "https:" "https:" "VIB" Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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successful delivery of key milestones. Key Responsibilities Lead the end-to-end design and development of core system components, including AI-based encoding/decoding modules, model integration pipelines, and
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team as a Research Fellow. The candidate will be involved in research and development in the area of single-cell analysis technology and will also collaborate with clinical partners on the testing and
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critical thinking skills Able to build and maintain strong working relationships with people within and external to the university Self-directed learner who believes in continuous learning and development
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, including design approaches, scanning methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system
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transfer, and building energy performance evaluation. Experience of test bed setup development, testing & commissioning, and performance analysis. Knowledge of industrial protocols, sensors, and control
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to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The researcher will be part of the team of the MCCS NATURE Project (https
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with people within and external to the university. Self-directed learner who believes in continuous learning and development Proficient in technical writing and presentation Possess strong analytical and
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development process using rheological characterization. More specific responsibilities include: Participate in and manage the research project with Principal Investigator (PI), and the research team members
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advantageous. Proficiency in algorithm development using Python will be advantageous Where to apply Website https://www.timeshighereducation.com/unijobs/listing/405545/research-fellow-ai-… Requirements
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development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D