175 parallel-processing-bioinformatics research jobs at Nanyang Technological University
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of design rules for 3D printed parts that are fabricated by various additive manufacturing (AM) and hybrid manufacturing processes. Development of analytic models, simulation, and optimization for the AM
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collaboratively in a fast-paced environment Prior research experience in neuroscience preferred RCULA certification preferred Prior research experience with bioinformatics is advantageous Hiring Institution: LKC
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foundry on the development of CMOS frontend wafer, and back-end-of -line integration process. To carry out ReRAM electrical transport measurement using probe station, or on bonded memory chip, and able
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machine learning models and neural circuits in the brain process states of emotion. The Nair group combines cutting-edge experimental tools with the development of new AI methods to understand and model
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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Circuit Boards. More precisely, it will focus on developing an efficient processing route to dismantle efficiently as well as sort resulting electronic components into fraction as enriched as possible in
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maritime transport, marine technology, computer science, or a related field; Excellent programming skills, such as Python, Matlab, C++, or other computer languages; A record of publications in reputable peer
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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to the programme of research. Job Requirements: Bachelor’s degree (or near completion) in Computer Science, Electrical/Computer Engineering, or a related field. Basic understanding of machine learning and computer
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topology optimization, generative design, and bioinspired design, SC3DP creates optimized products using a variety of novel materials and printing processes, including hybrid printing, post-processing, and