163 parallel-processing-bioinformatics research jobs at National University of Singapore
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skills with excellent written, oral communication and computer skills. A strong team player who is open-minded, independent, highly motivated and can work collaboratively in an interdisciplinary team and
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) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena
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satisfaction. Purpose of the post The Research Assistant (RA) will work closely with the Principal Investigator, lab members, and collaborators to ensure smooth operation of computing servers/storage, efficient
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communication skills and knowledge of common computer applications, e.g. MS office; Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should
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devices, smartphones, questionnaires and computer-based behavioral tests to collect large-scale, multi-sensor data streams. The research assistant will join a dynamic and multidisciplinary team conducting
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for Quantum Technologies (CQT) The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices
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to uncover SRL patterns in video-based learning (VBL) and digital game-based learning (DGBL) environments; • Conduct process mining and network analysis to differentiate SRL patterns between high- and low
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to assist in some organizational work related to the work of the centre. A strong command of English is required. APPLICATION PROCEDURE Interested applicants are invited to apply and submit their applications
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centre. A strong command of English is required. APPLICATION PROCEDURE Interested applicants are invited to apply and submit their applications directly at our NUS Career Portal. They must include: • a
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. Technical Skills: Proficiency in medical statistics, data science, and applications across various domains. Skills in processing and analyzing large datasets, data wrangling, visualization, big data analysis