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Strong research background in statistical learning problems -- especially from a theoretical perspective -- as evidenced by publications Knowledge of MATLAB/R/Python Good written and oral
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/fireworks/aflow). Proficiency in at least one programming language for data science and for numerical computing (e.g., Python/Julia/Fortran). We regret to inform that only shortlisted candidates will be
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, virtualization (Docker/Kubernetes), and scripting (Python, Bash). Strong programming skills in Python or C++. Excellent analytical, technical, and problem-solving skills. Strong communication skills and technical
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, virtualization (Docker/Kubernetes), and scripting (Python, Bash). Strong programming skills in Python or C++. Excellent analytical, technical, and problem-solving skills. Strong communication skills and technical
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and/or quantum photonics Experience in nano/micro-fabrication Programming skills (e.g., Python, Matlab) Ability to work as a team and communicate effectively More Information Location: [[Kent Ridge
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, or a related field. Proven experience in large/small language model development, fine-tuning, or LLM-based applications. Strong programming skills in Python, and familiarity with key libraries such as
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commonly used in genetics and molecular epidemiology. Expertise in R, Python, bash is required. Strong communication (oral and written) and interpersonal skills, and experience working in a large research
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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
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models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly
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or Python for statistical analysis and modelling Experience leading research teams or managing research projects (for Senior Research Fellow role) A solid publication track record Strong work ethics