617 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Edinburgh Napier University" research jobs in Singapore
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sciences Excellent written and spoken English Experience in academic writing, with prior publications Experience with qualitative and/or quantitative data collection Good analytical and critical thinking
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will be required to support the fieldwork process from participant recruitment through the data management stages, and any other administrative tasks required beyond fieldwork Assist in research tasks
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‘TMSI Biodiversity RA’ to this job portal. We regret that only shortlisted candidates will be notified. More Information Location: Kent Ridge Campus Organization: Tropical Marine Science Institute
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Key Phenotypic Definition and Evaluation, including molecular and biochemical bioassays Characterization of Genetic Control Cultivar and Lines Development Integration of Genomic Data into Cultivation
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multi-tasking skills, with a strong sense of responsibility for completing assigned duties on time Proficient in IT skills Good documentation skills, laboratory techniques, research and data analysis
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skills, with a strong sense of responsibility for completing assigned duties on time Proficient in IT skills Good documentation skills, laboratory techniques, research and data analysis skills Experience
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an emphasis on technology, data science and the humanities. We are looking for a Research Fellow in the Bio-Data Science and Education Laboratory to work on AI in mental health. The role will focus
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data cleaning and basic statistical analyses Locate relevant articles through literature search Evaluate research articles using premade rubrics Identify and extract necessary data from research articles
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threats (prompt injection, data leakage, tool misuse). • Design identity and authorization for AI agents (authenticated tool use, secure delegation, cryptographic logging). Key responsibilities • Lead
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Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Materials Science and Engineering Employee Referral Eligible: No Job requisition ID : 30162 Apply now