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, Engineering, or a related field, or equivalent practical experience. Strong Python programming skills; JavaScript knowledge is a plus. Experience in the DevOps field, such as containerization and orchestration
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. (assessed at: application & interview) Desirable criteria Knowledge of computer programming with experience in a scientific program language e.g., Python, Java, C++, C, C#, LabVIEW, MATLAB, Halcon, R, Maple
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Strong research experience in machine learning or deep learning, with practical experience of developing models in Python using a modern framework such as PyTorch. Essential Application/interview Research
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computer science. Experience: Experience in python including torch and scikit-learn libraries strongly preferred. Experience in working with image data or unstructured text data with large language models. Preferred
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techniques in data analysis. Familiarity with statistical analysis packages such as Stata, R, or Python. Advanced knowledge of research techniques and methods in relevant scientific field. Preferred
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400-level classes. Working knowledge of Excel, Python, and/or R are beneficial. Attention to detail and detailed recordkeeping are highly valued. BACKGROUND CHECKS/CLEARANCES Employment with
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engineering, robotics or a comparable field Basic knowledge of Python, ideally with PyTorch Familiar with ROS2 Interest in AI agent architectures and human-machine interaction Enjoy programming and are eager
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qualifications with a university degree (Master or equivalent) in physics, engineering or computer science Proficiency in computer vision and machine learning with Python Knowledge of X-ray physics and laboratory
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, geophysics, physics or a closely related field, completed by the start date Strong scientific programming in Python, and comfortable working with version control (git) in a collaborative codebase Fluent
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University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
these research areas is desirable. The applicant should be comfortable with running at least basic statistical analysis and ideally have R, MaUab or Python coding experience. The applicant will be