41 deep-learning-phd "https:" "Computer Vision Center" Postdoctoral positions at Northeastern University
Sort by
Refine Your Search
-
-of-the-art methods, datasets, and challenges Proven experience with: Video data processing for learning and inference Deep learning architectures for video analysis Python programming and PyTorch framework
-
materials property predictions. A deep understanding of materials properties and close connections in academia and industry enable the group to explore exciting research avenues. For more information about
-
, and evaluation The ideal candidate will lead their own project, and also collaborate with and support 1-2 PhD students on their projects. The ideal candidate will also be interested in learning to write
-
functional supervision over graduate and undergraduate students. The appointment generally does not extend beyond two years. To learn more about the work in the group, checkout out the group website. https
-
research reading groups. ● Foster an inclusive lab culture, promote collaboration, and encourage shared learning among team members. Secondary Responsibilities ● Occasionally guest lecture
-
learning/AI, and science of science, as well as quantifying art. The BarabásiLab's current work spans the applications of networks toward understanding food and nutrition, human diseases, disease progression
-
Learning Through Research (CATLR), and the Office of Faculty Development (ADVANCE). We welcome applicants with recently-awarded PhD, EdD, or related doctoral degrees (2023 or later) from the humanities and
-
Completed PhD in organizational behavior, human-computer interaction, psychology, computer science or related disciplines with experiences related to human-AI interaction. KEY RESPONSIBILITIES
-
reading groups. Foster an inclusive lab culture, promote collaboration, and encourage shared learning among team members. Secondary Responsibilities Occasionally guest lecture or assist with course material
-
Physical Biology Lab and/or to pursue individual projects in each lab. The Project Environmental issues are currently among the most pressing facing humankind. As such, understanding how students learn about