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at the intersection of computing, engineering and human health. We are particularly interested in candidates with a strong leadership and vision to expand and advance current and future Biomedical Engineering degree
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University System of Georgia leadership institution and is The Military College of Georgia. More details on the UNG Mission, Values, Vision, and Culture can be found at https://ung.edu/about/mission-vision
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and develop complex, custom Artificial Intelligence models and applications. This role incorporates Machine Learning, Deep Learning, Computer Vision, Large Language Models, and Agentic AI technologies
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, sexual orientation, and veteran or military status. The Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act or Clery Act Notification can be found at https://www.csusm.edu
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. The researcher will develop novel research that applies advanced data science, machine learning and deep learning to various different data modalities. An ambition of this team is to implement predictive modelling
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(3) years’ relevant work experience required. Skills Good communications skills. Basic computer knowledge in Microsoft, Word, and Excel. Comfort learning new software and dealing with 3D printers. 3D
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between cloud-based and on-premises data sources and destinations Proficient with computer applications and programs associated with the position (i.e., Microsoft Office suite and other collaboration tools
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broader university. The Postdoctoral Research Associate will be responsible for conducting field, laboratory, and/or computer modeling studies to address research questions in the Geological and/or
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, and interpersonal communication skills • Attention to detail and organizational abilities • Basic familiarity with office equipment and computer applications NCAA Guidelines All employees and staff
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Development of innovative experimental model systems for mechanistic investigation and translational validation of microbiome-mediated processes Advanced AI and machine learning frameworks for integrative multi