18 coding-"https:"-"https:"-"https:"-"https:"-"CSIC" Fellowship positions in Singapore
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, Statistics, or a related field. • Coding: Proficiency in Python (NumPy, Pandas, Scikit-learn). Knowledge of C++ or SymPy is a major plus. • Machine Learning: Strong understanding of machine learning
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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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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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systems or proof-of-concept demos. • Design, code, and optimize robust deep learning pipelines • Project reports writing and presentation. Qualifications • Possess a Bachelor degree or above in
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. We will also consider candidates who have extensive C++ or Python coding knowledge as these are transferrable to R. The candidate will be working with the Principal Investigator(s) on the analysis
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rigorous data management, cleaning, coding, documentation, and reproducibility practices. Synthesise research findings and translate them into actionable insights for policy, practice, and intervention
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PowerFactory, Siemens PSS-E, ETAP Configure and Conduct hardware-in-the-loop (HIL) and software-in-the loop (SIL) platforms using OPAL-RT / RTDS solutions. MW-scale Grid converter modelling approaches, grid code
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the use of advanced statistical techniques (e.g., multilevel or longitudinal modelling). Expertise in classroom observation video coding will be highly advantageous. Familiarity with classroom quality