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Field
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computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under review) Proficient programming experience in Python and libraries (e.g., Pytorch
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learning, AI, or statistical modeling. Proven ability to handle large and complex datasets, including preprocessing and integration. Strong programming skills (e.g., Python, R, MATLAB, or similar
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(e.g., in MATLAB or Python) Strong publication record in leading Q1 journals and top-tier international conferences Excellent communication and presentation skills in English Independent, curious, and
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proficiency in Python and/or R; familiarity with working in a Linux/Unix environment; fluency in English (both written and spoken); excellent communication and teamwork skills in an interdisciplinary
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: Cuantificación de Incertidumbre Bayesiana (Bayesian Uncertainty Quantification, BUQ) Appl Deadline: 2025/10/30 11:59PM * (posted 2025/09/08, listed until 2025/10/30) Position Description: Apply Position
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robotic systems for real-world tasks. Strong publication record in top-tier venues: ICRA, IROS, RA-L, T-RO, IJRR, CoRL, NeurIPS, RSS, CDC, TAC. Proficiency in Python, C++, ROS, and machine learning
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. Proven track record of high-quality research and publications. Solid programming and modeling skills (e.g., Python, MATLAB, C++,TensorFlow/PyTorch). Familiarity with quantum information theory or quantum
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programming skills in Python are essential, along with the ability to design experiments, analyze results, and interpret findings. Knowledge of optimization techniques, statistical modeling, and data management
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computer graphics/animation. Strong programming skills, especially in Python. Ideally, you have experience with PyTorch. Track record of publishing in top Vision/Graphics/Animation and Human-Computer
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ability to handle large and complex datasets, including preprocessing and integration. Strong programming skills (e.g., Python, R, MATLAB, or similar). Demonstrated ability to conduct independent research