124 parallel-processing-bioinformatics Fellowship positions at Nanyang Technological University
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implementation of elastomer adhesives Optimization of formulation for 3D printing and 2D printing Contribute to ongoing ionic liquid formation projects Design and prototype and scalable processing Collaborate with
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demonstrated expertise in handling rodents as well as functional and behavioral assessments. Published expertise in animal surgery, preferably SCI microsurgery in rodents Hands-on experience with tract tracing
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solvers to screen design variants, interpret flow mechanisms and guide experimental iterations. Develop scripts and workflows for experiment automation, data acquisition, post-processing and quantitative
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data Conclude the study in journal publications and patent filing Job Requirements PhD from Chemical and Biomedical Engineering, Optical Engineering, Signal Processing, Precision Instrument, Information
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Research Fellow to undertake responsibilities in the design, synthesize, activation and characterize the porous polymer microspheres. This project will involve designing of upscaling processes including
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Electronic Engineering at Nanyang Technological University. The group focuses on the development of hybrid integrated photonic chips and experimental platforms for advanced sensing and information processing
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such as miniaturization of NV sensors. Experience in systems engineering and process optimization is preferred. Key Responsibilities: Conduct research activities related to product design and engineering
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research grants in the above areas Job Requirements: A PhD degree in Computer Science, Data Science, Engineering, or a related field. Research experience in Computer Vision, Image Processing, Multimedia
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from chip. Characterise and optimise the algorithm for signal data processing for real-time cell analysis. Develop a user-interface platform for end-user testing of clinical samples. Job Requirements
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workers in Singapore. Key Responsibilities: Manage the participant recruitment process for the research studies. Collect data through qualitative and quantitative methods such as interviews, surveys and