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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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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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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., MSSQL
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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
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statistical analysis using R and help organize datasets for interpretation. A key focus will be integrating microbiome and metabolome data through statistical and machine-learning approaches to uncover
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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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. 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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possess: Master's degree in computer science, information technology, or similar discipline and one year of relevant experience. Expertise in Python or R programming. Experience with artificial intelligence
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model-guided artificial intelligence models for predicting components of agricultural systems, ability to analyze large datasets using Python, R, or other programming languages, and working knowledge
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statistical analysis using R and help organize datasets for interpretation. A key focus will be integrating microbiome and metabolome data through statistical and machine-learning approaches to uncover