734 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" positions at University of Colorado
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, calibration, and troubleshooting · Software development to support experiments · Biophysical modeling and construction of machine learning-based models · Statistical analysis of single-cell
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integrated care for students being seen for multiple services. (10%) Mentor graduate nutrition students in their community practicum and service-learning hours. (10%) Provide nutritional insight and support to
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, counseling, human services, or a directly related field from an accredited institution. A combination of education and related technical/military/paraprofessional experience may be substituted for a bachelor’s
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needed for in-person meetings. Why Join Us: The University of Colorado School of Medicine offers comprehensive, lifelong, interdisciplinary learning for health care professionals. With state-of-the-art
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. Computer skills, including the ability to utilize Microsoft Office programs (i.e. Word, Excel, PowerPoint, Outlook, etc.) and learn and experiment with new software and systems. Interpersonal skills
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of our hospital-based affiliates as well as the city and county of Denver. Our work is value driven and focused on scientific investigation, lifelong learning, and a balance of personal and professional
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the main point of contact with the LIS vendor for system support and maintenance. Other laboratory computer applications may be included in the scope of work as the position evolves. Key Responsibilities
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hospitals – the VA, the nationally ranked University of Colorado Hospital, and the Children’s Hospital Colorado, where our nursing students and faculty learn every day. From our beginning 125 years ago as
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and early detection are urgently needed. Our team is building machine learning–driven digital biomarkers from wearable sleep electroencephalography (EEG) to assess neurodegenerative changes before
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, Applied AI, Agentic AI, Generative AI, Embodied AI, Human-Centered AI, Machine Learning and Statistical Learning, Deep Learning and Foundation Models, Reinforcement Learning, and High-Performance Computing