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, training, and evaluation of machine learning models applied to healthcare problems. Support research workflows within established Linux-based environments under technical supervision. Conduct exploratory
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that are facile with computationally efficient, rigorous machine learning for image region identification, demonstrate an understanding of both planetary and scalable computer science, and have publication
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, volumetric data analysis, optimization methods, statistical modeling, or machine learning for scientific applications. Prior experience with cryo-EM software frameworks or structural biology data is considered
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-scale compound drivers. We will leverage machine learning methods to bridge the gap between drivers at coarse model resolutions and impacts captured by high-resolution observations. Job description Arctic
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cleaning and quality control, supervised and unsupervised machine learning, parametric and nonparametric statistical methods, deploying production models, and assisting with the communication of scientific
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practical skills in the field of data science, especially. multimodal data analysis. Experience on image processing (especially on MRI data) via machine learning. Programming skills (e.g., Python
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prevention model. The Health Promotion Specialist will have responsibility for substance use prevention content creation and delivery, coordination of services including the online Narcan order system, and in
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staffing models. Skills / Knowledge / Abilities Basic computer knowledge, MS Windows, Word, Outlook, and clinical applications. Supervisor experience is preferred but not required. Does this position have
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region. Please use the following link to learn more about YSU: https://ysu.edu/about-ysu Show more Show less Connections working at Youngstown State University More Jobs from This Employer https
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knowledge in areas related to Data Science; Have knowledge of Machine; Be a PhD Student in Information Management. Work plan and goals to achieve The work plan will include the development of Machine Learning