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Field
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highly skilled Postdoctoral Fellow with a proven dual‑mode research profile capable of independently performing laboratory experiments and coding predictive AI models in Python to forecast biomaterial
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, e.g., Python, Java, or C++ Strong written and oral communication skills and able to present results clearly. Open to fixed-term contract More Information Location: Kent Ridge Campus Organization
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fields • Prior experience in analysing EEG data. • Possess strong programming skills (mostly Python) and familiar with statistical methods. • Have good communication and writing skills
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artificial neural networks and fuzzy systems for KPI aggregation; Knowledge in data engineering, Python, and real-time data analysis. Generic Scientific Area: Electrical Engineering or Computer Engineering
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precipitation research. A strong record of relevant peer-reviewed publications and data products. Proficiency in quantitative analysis using Python, MATLAB, or R; experience with hydrologic modeling tools is also
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-quality journal publications. Assist in supervising research students in the group. Job Requirements: PhD in microbiology, bioinformatics, computational biology or a related field. Experience on python
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. • Proficiency in programming (e.g., Python, C/C++, MATLAB) for model development and data analysis. • Demonstrated ability to work independently and as part of a multidisciplinary team
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interventions. Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We will also consider candidates who have extensive C++ or Python
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environments, scripting/programming (e.g., Bash, Python, R), and genomic analysis pipelines is essential, along with hands-on experience working with large datasets and public repositories such as Genomics
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and oral communication skills Proficiency in data analysis tools (e.g., R, Stata, Python, NVivo, GIS) Experience with interdisciplinary or community-based research is a plus How to apply: Interested