Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- ;
- Nanyang Technological University
- Nature Careers
- Singapore Institute of Technology
- University of British Columbia
- University of London
- Ryerson University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Birmingham
- University of Nottingham
- Harvard University
- Curtin University
- National University of Singapore
- Queen's University Belfast
- University of Sheffield
- KINGS COLLEGE LONDON
- Lincoln University
- Open Society Foundations
- Sheffield Hallam University
- The University of Alabama
- The University of Queensland
- University of Oxford
- Zintellect
- Arizona State University
- CNRS
- Cardiff University
- Embry-Riddle Aeronautical University
- Florida Atlantic University
- Johns Hopkins University
- King Abdullah University of Science and Technology
- King's College London
- Monash University
- Northeastern University
- Nottingham Trent University
- Oxford Brookes University
- RMIT UNIVERSITY
- RMIT University
- SUNY University at Buffalo
- Singapore University of Technology & Design
- Stanford University
- Technical University of Munich
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Bergen
- University of Bristol
- University of Cambridge
- University of Leeds
- University of Lincoln
- University of Michigan
- University of Nebraska–Lincoln
- University of South Australia
- University of Stirling
- University of Texas at Austin
- University of Washington
- University of the West of England
- Vanderbilt University
- Yale University
- 48 more »
- « less
-
Field
-
development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D
-
embedded AI systems. They will demonstrate a strong track record of high-quality research in machine learning/AI and/or embedded systems, evidenced by publications in leading conferences and journals
-
experience Proven experience with sensor integration, data acquisition systems, and embedded hardware prototyping, preferably in aquatic or environmental monitoring contexts. Strong understanding of real-time
-
Engineering, Robotics, or related fields. Strong experience in UAV hardware design, embedded systems, and real-world flight testing. Proficient in multi-agent system integration and middleware (e.g., ROS 2, PX4
-
Postdoctoral Fellow. This position is available to individuals with research interests in neuromorphic computing, IC design, embedded systems, or AI. Successful candidates will hold a terminal degree in
-
. Based at LSHTM in London the post-holder will be embedded within the Electronic Health Records Research Group and will work closely with external collaborators. The post-holder must have a postgraduate
-
. Based at LSHTM in London the post-holder will be embedded within the Electronic Health Records Research Group and will work closely with external collaborators. The post-holder must have a postgraduate
-
the development and translation of rehabilitation technologies is strongly preferred. Prior experience with embedded systems or biomechanical evaluation in wearable devices is desired. Special Instructions Contact
-
embedded research role, working on community-led research agendas with an emphasis on co-creation and lived experience supporting QCAP’s role within the project across the Belfast Catapult site and a co
-
renewable and bio-based materials, and as part of the PEPR B-BEST initiative (Biomass, Biotechnology and Sustainable Technologies for Chemistry and Fuels), this PhD project is embedded in the WallMat