207 coding-"https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" Fellowship positions in Singapore
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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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Vo Dat Nguyen Host School : CCEB Email: datnguyen.vo@ntu.edu.sg Google Scholar: https://scholar.google.com/citations?user=6DpchCQAAAAJ&hl=en Dr. Nguyen’s research interests encompass mathematical
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harmonisation, and model generalisability. • Maintain documentation, computational workflows, and reproducible code repositories. Project Management & Collaboration • Work collaboratively with clinicians, data
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-on experience in specific scope Familiarity with required scope (e.g. national codes and standards) Good written and oral communication skills (if applicable) Proficiency in hard skills / job-specific abilities
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coding, including familiarity with data analysis and bioinformatics tools relevant to neurobiological research. Extensive experience supervising postgraduate students and supporting research teams
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learning or computer vision conferences/journals, such as TPAMI, IJCV, CVPR, ICLR, ICCV, ECCV, NeurIPS, ICML. Strong coding skills in scientific or engineering software like PyTorch, TensorFlow, Keras, etc
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experimental findings is highly desirable, as is competence in computational biology through coding skills tailored to bioinformatics analyses. A track record of supervising postgraduate students or early career