135 coding-"https:"-"https:"-"https:"-"https:"-"https:"-"CSIC" positions in Singapore
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(architecture principles and ML librairies) ML-literate: comfortable reading scikit-learn and PyTorch code and working with tabular machine learning workflows. Comfortable in a small team with direct ownership
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infrastructure-as-code (e.g. Terraform) across GCP and AWS, and maintain CI/CD pipelines, container build/registry workflows, and deployment automation so teams can ship safely and frequently. Strengthen
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delivery, no-code/low-code prototyping, data privacy and governance considerations Healthcare innovation, medical education, data analytics, procurement and vendor management experience would be advantageous
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administration, scoring, and interpretation of standardized child assessments Experience in qualitative research methods, including qualitative data collection, coding, and analysis Experience in research project
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. Experience with embedded systems and hardware/software integration in a research or prototyping context. Experience with FPGA/RTL development and Xilinx tools, and CUDA coding for GPU acceleration. Knowledge
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systems, FPGA/RTL, and RF technologies, and CUDA coding for GPU acceleration is a plus. Strong leadership, communication, and documentation skills.
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bridging (e.g., JESD204C/eCPRI), and CUDA coding for GPU acceleration. Knowledge of RF calibration, test automation, and signal integrity in a research or prototyping context. Track record of peer-reviewed
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translation: Code and analyse qualitative data, and turning findings into compelling visuals, narratives, and accessible outputs for stakeholders Writing and dissemination: Draft research reports, policy briefs
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responsibilities of the position include: Supporting the development and maintenance of teaching platforms and environments used in data science and AI courses. Managing code, data, and model lifecycle workflows
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, procurement (such as purchase of equipment) etc. Support the team in data collection and management (including travelling to school sites out of NIE campus) Support the team in data analysis such as coding and