112 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Cardiff-University" positions at Saint Louis University
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Integrate multi-omics data with clinical, cognitive, and imaging phenotypes in longitudinal cohorts Develop and apply statistical and machine-learning models (e.g., mixed-effects models, survival analysis
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learning experiences and compliance with program requirements Serve as liaison between the academic program and clinical sites Monitor student clinical assignments and make adjustments as needed to optimize
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a team-oriented research environment. PREFERRED QUALIFICATIONS Prior experience in one or more of the following areas: longitudinal data analysis, survival analysis, spatial methods, machine learning
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Engineering at Saint Louis University (SLU) seeks a dynamic, collegial, collaborative, and creative adjunct faculty member to teach the undergraduate course in Structural Design Laboratory. Applicants should
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Strong attention to accuracy and detail Advance Microsoft Office support tools and spreadsheet software Teamwork and collaboration skills Dedicated to self-directed growth, development, and active learning
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dedicated to student learning, research, health care, and service, is seeking applications from persons interested in a full-time, faculty position in orthodontics at The Center for Advanced Dental Education
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learning activities; helps identify, develop and implement new content, programs and technology for both on campus and distant learning activities. In collaboration with PASE management, develops and
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dedicated to student learning, research, health care, and social justice, seeks applicants for a visiting faculty appointment in the School of Law for the 2026-27 academic year. While all candidates will be
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, organization, public speaking, analytical and computer skills Ability to maintain the strictest standards regarding confidentiality of all student information. Excellent time management skills. Detail-oriented
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, military/veteran status, gender identity, or other non-merit factors. If accommodations are needed for completing the application and/or with the interviewing process, please contact Human Resources at 314