379 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:" positions at National University of Singapore
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: At least 10 years of work experience, preferably relevant experience in investment Bachelor degree or higher in business, finance, accounting, economics, computer science, humanities, data science, law
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dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing We are looking for an enthusiastic individual to support our administrative team in managing and
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Job Description Apply now Job Title: Management Assistant Officer (1-year contract) Posting Start Date: 15/01/2026 Job Description: Job Description We’re hiring an Operations and Admin Officer to keep our research group and lab running smoothly. In this role, you’ll oversee day-to-day processes...
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discipline (statistics, mathematics, computational biology, data science). Strong programming skills (R preferred) Statistical competence (Bayesian is advantageous) Please email the PI at ephdbsl
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discussions, and training to improve quality of care o Participate and contribute to novel projects to drive the university’s health and wellbeing strategy e.g., peer staff support programme, mental health
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Research Fellow under a new programme centered on the culture and politics of social media discussions. Job Description* As a Research Fellow with the SMOL project, you have demonstrated an exemplary track
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responsible for carrying out numerical simulations for research projects within the group. Qualifications - PhD in quantum information science, with a physics background. - The candidate needs to have research
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. This position focuses on the development and application of large language models (LLMs) for advancing food informatics, food bioactives research, and sustainable food innovation. The selected fellow
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Computer Engineering. More information on the laboratory is available at www.neuroimaginglab.org . The MNNDL group at NUS is a multidisciplinary team studying the human neural bases of cognitive functions
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interventions. The programme draws on a richly phenotyped biorepository of stroke patient samples, comprehensively profiled by whole-exome sequencing, RNA-seq, and proteomics, with clinical outcomes tracked over