39 machine-learning positions at University of California, Los Angeles in United States
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JOB DUTIES Description The Machine Learning Specialist plays a key role in advancing UCLA Health’s AI and machine learning capabilities. This position contributes to the development, evaluation
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learn new computer and clinic systems Excellent documentation abilities At least one year of experience (no CFY)
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notebook Experience with regular expression natural language processing via Python Experience with machine learning models (e.g. regularization regression, random forests, ensemble methods) Experience with
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University of California, Los Angeles | Los Angeles, California | United States | about 19 hours ago
. Position description The Department of Computational Medicine at UCLA seeks candidates to fill Adjunct Instructor position, to focus on analyses of health records using machine learning techniques
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, biosafety cabinet hoods, PCR machines and electrophoresis apparatus. Strong interpersonal skills for interaction to communicate diplomatically and effectively with faculty, patients, physicians, collaborators
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and evening hours, to accommodate research deadlines. Ability to handle confidential material information with judgement and discretion. Typing and computer skill/ability including word-processing
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, molecular biology, and biochemical principles. Ability to communicate effectively to convey experimental results. Ability to learn new methods and protocols and to adapt these to current laboratory situations
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for managing all aspects of the program, from coordinating and developing various education programs to innovating and researching new learning methods. This role offers a platform to make a significant impact
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notebook Experience with regular expression natural language processing via Python Experience with machine learning models (e.g. regularization regression, random forests, ensemble methods)
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University of California, Los Angeles | Santa Monica, California | United States | about 1 month ago
. This is a great position to gain hands-on experience in Internal Medicine, learning how to manage chronic conditions, acute illnesses, preventive care, and patient education while integrating complementary