Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Center for Drug Evaluation and Research (CDER)
- University of Michigan
- Center for Devices and Radiological Health (CDRH)
- University of Colorado
- Nanyang Technological University
- Ghent University
- National University of Singapore
- New England HERC
- Office of the Commissioner (OC)
- Singapore Institute of Technology
- University of Copenhagen
- University of Sheffield
- University of South Carolina
- 3 more »
- « less
-
Field
-
Communication), • ACM MobiCom (International Conference on Mobile Computing and Networking) • ACM MobiSys (International Conference on Mobile Systems, Applications, and Services) • USENIX
-
Engineering, Computer Science, or a related discipline. Relevant hands-on experience in field robotics , preferably involving industrial inspection, autonomous mobile robots, or other real-world
-
-embodiment retargeting framework with safety constraints Develop a mobile bimanual manipulation system to complete diverse tasks in household environment and in manufacturing deployment scenarios Job
-
constraints Develop a mobile bimanual manipulation system to complete diverse tasks in household environment and in manufacturing deployment scenarios Job Requirement PhD in Electronic Engineering
-
(WP) program, the WP Alumni Relations Fellow will serve as a key contributor and programming lead for Wolverine Pathways alumni relations efforts. Responsible for designing and executing alumni-focused
-
outcomes, and program structure. Compile data from lecturers around needs and desires for the Lecturer Summit learning outcomes. Design engaging programming focused on topics such as: Effective and
-
.- Strong computational modeling and programming skills. - Ability to collaborate effectively within an interdisciplinary research team. - Strong oral and written communications skills. Modes of Work
-
include physical activity and the gut microbiome. Research activities encompass primary data collection and secondary data analyses in large cohorts, including large-scale mobile data collection. The
-
as drone fleets, mobile robots and sensor networks increasingly use federated learning (FL) to train shared models across many devices without centralising raw data. In realistic deployments, however
-
, applied physics, or a closely related field Background in atmospheric radiation and passive radiometric remote sensing Significant experience in scientific programming in Python, MATLAB, or similar