45 software-defined-networking-"IMEC" Fellowship positions at National University of Singapore
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of the research and development cycle: collaborate with team members to define technical requirements, design, test and integrate the systems in the network demonstrations. Job Requirements The candidate should
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Job Description Job Alerts Link Apply now Job Title: Research Associate/Fellow/Senior RF - Net Zero Healthcare Delivery Posting Start Date: 15/07/2025 Job Description: Job Description Climate change
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• Proficiency in at least one statistical software (e.g., R, Stata, SPSS, Python) • Expertise in quantitative analysis, with preferred skills in o Quasi-experimental evaluation techniques (e.g., Difference-in
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. Prior demonstrable experience in at least one or more of the following analyses – sc transcriptomics, proteomics, metabolomics. ● Strong bioinformatics background and / or familiar with software
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. Prior demonstrable experience in at least one or more of the following analyses – sc transcriptomics, proteomics, metabolomics. ● Strong bioinformatics background and / or familiar with software
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Infectious Diseases Network (ADVANCE-ID). ADVANCE ID is jointly funded by the Wellcome Trust and Singapore institutions including the Saw Swee Hock School of Public Health and Yong Loo Lin School of Medicine
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change is the defining challenge of our time, shaping the health of populations for generations to come. The National University of Singapore is tackling this crisis through its Centre for Sustainable
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medical centre. The School embodies a strategic partnership between Duke University and National University of Singapore. It works closely with the Singapore Health Services (SingHealth) cluster, a network
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; • Proficiency in programming; • Proficiency in additive manufacturing-related software, including 3D modelling and path planning; • Ability to integrate sensors (e.g. laser scanning, thermal imaging) for
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science, computational biology, engineering, statistics, mathematics.). Experience and interest in prediction modelling Proficient in statistical software and programming languages and familiarity with relevant libraries