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construct signal read-out circuits to demonstrate the high-performance and multifunctional photodetection capabilities of the fabricated devices. At last, prototype system designs should be developed
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collaborations. Job Description As part of the SSS Communication Framework, this role will help to further promote our research advances and capabilities, corporate branding and public image. This role aims
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Job Description Research and development of machine learning models to process clinical data Development, training and testing of AI models in the local medical domain Work with the team to deploy
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status and family responsibilities, or disability, are encouraged to apply. Our recruitment process is entirely merit-based. Requirements We are seeking individuals with expertise and a proven track record
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administrative duties. Major Duties and Responsibilities: 1. Contribute to DSRB/IRB application process, support ethics and regulatory related administrative work including DSRB/IRB and HSA applications 2
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of this role is to deliver on an industry innovation research project Proteins for Singapore (P4SG) where you will be part of the research team to optimise a food extrusion process for high-quality protein-based
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are: To release nutrients from food waste through anaerobic digestion and optimize the co-digestion process with waste-derived hydrogels. To recover nutrients from the digestate to produce a novel biofertilizer. To
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technologies Integration of data-driven approaches for design and process Develop prototype and concept demonstrator Produce research paper and reports Mentor students Ensure lab safety and assist in purchasing
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knowledge in one or more of the following areas: 1. AI/ML algorithm; 2. Signal and image processing, 3. 3D SLAM, 4. Robot Navigation Knowledge and/or experience in using some of tools such as Matlab, Python
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), under a brain-computer interface paradigm, as well as statistical data analysis. Specifically, the researcher is expected to: 1. Be involved in planning and executing data analysis and statistical