92 image-processing-postdoc Fellowship positions at SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
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or application. Strong technical expertise in one or more of the following areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and
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comprehensive literature review on food rheology, texture analysis, particle analysis, image analysis and the IDDSI framework. Design and execute experiments to develop new instrumental texture analysis methods
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palliative care settings. Develop medtech / healthtech solution concepts, technical specifications and prototype roadmaps for organisational transition, focusing on but not limited to long-term bedridden
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areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and
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specifications, performance frameworks, and implementation methodologies suitable for industry adoption. Lead the scale-up of laboratory processes (e.g. aqueous carbonation) to prototype and pilot systems
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productisation of solutions, including experimental design and prototype validation. Lead and manage projects focused on product innovation, including, Artificial Intelligence, renewable energy, circular economy
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development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process
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detection of microbial bioburden in biopharmaceutical cleaning validation processes. The role involves aptamer discovery, nanomaterial-based SERS sensor development, and integration with microfluidic systems
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methods, signal processing techniques, and comparison with alternative detection technologies. ii. Support design and development of NQR prototype, including system architecture, component selection, and
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Proficiency in CAD software (SolidWorks, Fusion 360, or equivalent) and rapid prototyping tools (3D printing, CNC) Strong foundation in mechanical design, prototype fabrication, and testing methodologies