174 parallel-processing-bioinformatics research jobs at Nanyang Technological University
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development and optimization of plasma-based PVD and CVD processes for advanced material applications. Operate and maintain semiconductor analysis and metrology tools to evaluate thin film and device properties
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an emphasis on technology, data science and the humanities. We are seeking a motivated student assistant to support our research team in processing large-scale microscopic blood-cell image datasets. Your
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Ability to work independently Ability to independently conduct interviews in Singapore Good interpersonal and oral communication skills Preferred Proficiency in computer software packages (e.g. SPSS, data
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the application form, programme structure, mentorship, service agreement, application process – can be downloaded here . The application deadline is 31 December 2024. The Evaluation Committee will only start
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for motion control, and monitoring sensors. Job Requirements BS in Electrical and Electronic Engineering, Mechanical Engineering, computer engineering, or related field 4-year research experience in related
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++, or Go, and frameworks like PyTorch or TensorFlow, is highly advantageous. Experience in developing and deploying machine learning models, particularly in natural language processing (NLP) and large
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-of-the-art scientific results into real world solutions for Singapore, and it will transfer these solutions to Southeast Asia (SEA) and beyond. As part of this programme, Cluster 1: Climate Processes and
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in signal representation/processing, esp for scent signals. Prior research experience and track record in signal detection, machine learning and deep learning. Prior programming experience in state
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remote supervision, to conduct research work as follows: Key Responsibilities: Collects and prepare data/information/ proposal required for relevant grant call process Conducts experiments related
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communication, or signal processing. Proficiency in programming languages like Python, MATLAB, or C++, and experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn. A proven track record of