113 coding-"https:"-"https:"-"https:"-"Institut-Agro-Rennes-Angers" positions in Singapore
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literature reviews (summarizing, coding, and organizing relevant literature). To compute different statistical analyses for the findings obtained. To contribute to research translation and dissemination
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., Human Biomedical Research Act, Medicines Act, Personal Data Protection Act, Penal Code, Health Products Act, etc, and their related Regulations) and to NUS’ policies and guidelines (e.g., DMP, RDMP, etc
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of the programme. Ensuring that NTU’s rules, practices and codes of conducts on intellectual property rights and academic integrity are strictly adhered to. Any other task that may be necessary for the successful
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-tuning using modern frameworks. Software Engineering Excellence: Demonstrates expert-level Python skills and a strong commitment to Software Engineering best practices, writing code that is clean, modular
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analysis software. Experience in classroom observations and video data coding. Experience of collating and organising large amounts of data (video/audio) Skills in or knowledge of managing/using a Network
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-tuning using modern frameworks. Software Engineering Excellence: Demonstrates expert-level Python skills and a strong commitment to Software Engineering best practices, writing code that is clean, modular
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capability in scientific writing, including technical documentation, reports, and peer-reviewed publications. Good research practice, including code version control (e.g. Git), experiment tracking, and
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of relevant research experiences or equivalent Prior experience in working with embedded systems is required. Prior experience with coding and evaluation of cryptography algorithms, specifically Post-Quantum
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(RAG), and fine-tuning using modern frameworks. Software Engineering Excellence: Demonstrates expert-level Python skills and a strong commitment to Software Engineering best practices, writing code
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coding knowledge as these are transferrable to R. The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer