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framework such as Tensorflow, Pytorch, MXNet and Programming Languages such as Python, Matlab, R and/or C/C++. Demonstrated project experience related to causal inference will be an advantage. Good written
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, or a related field. Expertise in deep learning, multimodal LLMs, and Vision-Language-Action models. Strong programming skills in Python, with significant experience in PyTorch. Hands-on experience with
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++/Python. Excellent communication and collaboration skills. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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studies, QTL studies, colocalization, Mendelian Randomization) Proficient in R, Python, Linux/Unix Command over commonly used genetics (e.g., PLINK, GCTA, FUMA, variant predictor tools) and metagenomics
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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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of programming languages such as matlab and Python. We regret to inform that only shortlisted candidates will be notified. Hiring Institution: NTU
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. - Proficiency with Python and data analysis frameworks. - Familiarity with large, complex datasets and modern computational techniques. - Good written and oral scientific communication skills. • Experience
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Excellent publication track record on top tier conferences/journals Proficiency in programming language Python Excellent verbal and written communication skills We regret to inform that only shortlisted
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. • Proficient experience with various robotics simulators (e.g., MuJoCo, PyBullet, Gazebo) and excellent programming skills in C++, Python, and MATLAB with the ability to develop efficient, production-quality
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-reviewed publications in high-quality journals. • Proficiency in programming and modelling tools (e.g., R, Python, C/C++, Julia). • Excellent quantitative and analytical skills, with experience handling