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and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep learning, and data modeling techniques. Preferred Qualifications: Prior working experience with EHR data, machine
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knowledge (R, Python, or other programming languages) or ability to learn. Excellent oral communication and written skills in English, with good organization, attention to detail, and analytical abilities
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This position will utilize data science and statistical software such as Python, R, and SAS, to analyze and interpret research data. This position will also use other database/analytical software platforms (e.g
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such as Python and R. Special Instructions to Applicants: For full consideration, applications must be submitted online by clicking “Apply Now” at the top of this posting. A complete application includes
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science, information science, data science, (bio)-statistics, (applied) mathematics, physics, or a related STEM fields. Strong programming and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep
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, particularly using MODFLOW. Demonstrated experience with scenario development and model-based analysis of environmental systems. Proficiency in programming or scripting languages (e.g., R, and Python
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members who are interested in starting/continuing a career in academic physiatry. The Department is looking for a board eligible/certified physiatrist interested in joining a rapidly growing PM&R Program at
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skills and command of R Special Instructions to Applicants: To be considered, please upload a cover letter, resume and three professional references by 11:55 p.m. (ET) of the posting end date. Health
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. Successful completion of a formal educational program accredited by a mechanism acceptable to the ARRT accrediting body. Initial ARRT (R) Certification by exam and current valid ARRT (R) registration. Two
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. Experience with database development, statistical software (SAS, R), subject recruitment, and laboratory management. Familiarity with EEG and MRI technologies and training in the conduct of human subject