50 machine-learning-"https:" "https:" "https:" research jobs at Rutgers University in United States
Sort by
Refine Your Search
-
related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with transformer architectures (e.g., ViT
-
Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
-
and experience using geographic information systems software are also required. Knowledge of Git is a plus. The successful candidate must be willing to learn new methods as needed and have the ability
-
meteorology, human ecology, entomology, and environmental economics. In addition to instruction in the classroom, field, and laboratory, our students have opportunities for experiential learning on and off
-
meteorology, human ecology, entomology, and environmental economics. In addition to instruction in the classroom, field, and laboratory, our students have opportunities for experiential learning on and off
-
environment. Highly motivated, passionate about science, a strong communicator, and possess an internal drive to learn independently. Equipment Utilized Physical Demands and Work Environment Overview While New
-
Movement Sciences at Rutgers University is seeking a highly motivated Post Doctoral Associate to work on translational projects at the intersection of biomechanics, machine learning, exergaming, and mobile
-
analyses or the ability to effectively learn these techniques will be needed. Effective oral and written communication skills. Preferred Qualifications Experience in immunology, T cell biology, and cancer
-
learning on and off campus, including a growing emphasis on international experiences through short- and long-term study abroad. Students also have access to a robust program of applied research and outreach
-
/ ). The successful candidate will develop web pages and front-ends to showcase new drug discovery tools and databases used to train innovative machine learning models. This is an outstanding opportunity