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, regulated information, and infrastructure across academic and administrative domains. The ideal candidate will have experience in academic or research-intensive environments, a deep understanding of emerging
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Description: The department of Educational Leadership is seeking temporary, part-time lecturers to teach available courses in their various programs. SCHOOL: For more than 100 years, the School of Education has
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proficiency with deep learning frameworks such as PyTorch, TensorFlow, or JAX. Strong foundation in machine learning, deep learning, and mathematics (linear algebra, probability, calculus, optimization
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and Applications, R Language for Statistics, Data Mining with Big Data, Artificial Intelligence and Deep Learning, Statistical Reasoning for Business Decisions, Data Visualization; Highly Desired: Text
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analysis, search and recommendation of music data. The main areas of responsibility include the following: implementation/porting of algorithms from the fields of deep learning and audio signal processing
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analysis, search and recommendation of music data. The main areas of responsibility include the following: implementation/porting of algorithms from the fields of deep learning and audio signal processing
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Campus Ministry to coordinate Sophomore Faith Housing and will work alongside the team in the Office for Mission and Rector to support and refine Marianist Family Spaghetti Dinners. To learn more about our
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of HR regulations and procedures. The ideal candidate will bring strong organizational skills, attention to detail, a deep understanding of academic personnel systems, and a commitment to supporting
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, preferably in an educational or student services environment. Technical Skills: Proficiency in google and comfort learning new systems and databases. Ability to work with CRM platforms, student information
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implementation of machine learning models for health analytics projects, focusing on early detection of Alzheimer’s using health and financial data, and building deep learning models to detect fake images, audio