12 machine-learning-phd positions at University of Southern California in usa

Adjunct Professor of Expanded Animation Research + Practice

through the lens of race, ability, gender, sex, class, ethnicity, and culture. XA Animation is seeking applicants for an open-rank adjunct faculty position to teach a 2-unit course, Cinematic Animation

Adjunct Professor of John H. Mitchell Business of Entertainment Programs – Artificial Intelligence in Business of Cinematic Arts

The John H. Mitchell Business of Entertainment Program is looking to hire an Adjunct Professor to teach a new course about Artificial Intelligence (AI) and its impact on media, cinematic arts, and

Infection Preventionist I - Infection Control - Full Time 8 Hour Days (Exempt) (Non-Union)

of adult learning in developing education strategies. c. Develops goals, objectives, and lesson plans for Infection Prevention education offerings. d. Conducts organization-wide in-services, including but

Computer Scientist - EDA Researcher

contribute to or lead proposals. Position specific JOB QUALIFICATIONS: PhD or MS and equivalent experience in Computer Engineering, Electrical Engineering, or Computer Science required. Previous publications

Research Computer Scientist - Digital Design

contribute to and lead proposals efforts. Position specific JOB QUALIFICATIONS: PhD or MS and equivalent experience in Computer Engineering, Electrical Engineering, or Computer Science required. Previous

(Open Rank) Lecturer, Senior Lecturer, Associate Professor, or Professor of Practice of Information Technology

necessary to teach undergraduate-level courses in one (or more) of the following specific areas: Applied Artificial Intelligence (machine learning; computer vision; natural language processing) Applied

(Open Rank) Lecturer, Senior Lecturer, Associate Professor, or Professor of Practice of Industrial and Systems Engineering

Analytics, Data Mining, Machine Learning, Optimization, Systems Simulation, Cloud Analytics, and computational tools for analytics (proficiency with Python, R, and SQL is a plus).  At a minimum, candidates

Postdoctoral Scholar - Research Associate

tissue samples. The ideal candidate will have prior experience in the analysis of single-cell transcriptomic datasets and is eager to learn and develop new spatial transcriptomics approach

Postdoctoral Scholar - Research Associate

processing, imaging, and machine learning to analyze data and help with aggregation, harmonization, and dissemination of our datasets to the research community. More specifically, they will be able

Postdoctoral Scholar Research Associate

in bioinformatics) Background and work knowledge in scientific computing, algorithms, and machine learning or statistics is required Familiarity with R or Python, and the Unix (Linux) environment is