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Engineering, Retrieval-Augmented Generation (RAG), and fine-tuning using modern frameworks. Software Engineering Excellence: Demonstrates expert-level Python skills and a strong commitment to Software
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, particularly in languages commonly used in machine learning and smart contracts, such as Python and Solidity. Candidates should be adept at libraries and frameworks like TensorFlow, PyTorch, Hugging Face
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and processing (e.g., coding or scoring of surveys). Perform literature review and communicate learnings to the lab. Analyze and visualize data in R, Matlab, or Python.
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, or computational methods, preferably in applied research settings working on projects related to healthy cities Skills and Competencies - Skills in quantitative analysis using R, Python, Stata, or equivalent
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models, and/or terrestrial biosphere models. 4. Proficiency in at least one programming language, such as MATLAB, R, or Python. 5. Ability to work effectively in an interdisciplinary and collaborative
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or learning-based control; diffusion policies or generative decision-making; robotics physics simulators (e.g., Isaac Gym, MuJoCo, Gazebo) Proficiency in Python and/or C++ Experience with PyTorch or similar
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Python and common machine learning / NLP libraries (e.g., PyTorch, scikit-learn) Good written and oral communication skills; proficiency in Mandarin Chinese so as to support the technical components
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developing quantitative evaluation methodologies or performance metrics. Strong programming skills in Python and modern AI frameworks (e.g., PyTorch, Hugging Face). Experience with optimization algorithms
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DAS datasets, including signal processing, quality control, feature extraction, system identification, imaging, inversion, or source characterization, is highly desirable. Proficiency in Python, C
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++, Python. Experience with Machine learning technologies (e.g., LLM, and Machine Learning) is an advantage Experience with Hardware, e.g., FPGA acceleration, is an advantage. Excellent communication skills