Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Fraunhofer-Gesellschaft
- Nature Careers
- NIST
- Nanyang Technological University
- University of Dayton
- University of Sheffield
- Oak Ridge National Laboratory
- University of Texas at Austin
- Zintellect
- ;
- ETH Zurich
- Pennsylvania State University
- Princeton University
- Stony Brook University
- Technical University of Munich
- AIT Austrian Institute of Technology
- Carnegie Mellon University
- Heriot Watt University
- IMEC
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Northeastern University
- Singapore Institute of Technology
- Texas A&M University System
- Texas A&m Engineering
- University of British Columbia
- University of Glasgow
- University of Houston Central Campus
- University of North Carolina Wilmington
- Warsaw University of Technology/the Centre for Advanced Materials and Technologies, CEZAMAT
- CSIRO
- DURHAM UNIVERSITY
- Durham University
- ETH Zürich
- European Space Agency
- Forschungszentrum Jülich
- Ghent University
- IMT MINES ALES
- Institut Neel
- King Abdullah University of Science and Technology
- Lodz University of Technology
- Loughborough University
- Monash University
- OGS (Istituto Nazionale di Oceanografia e di Geofisica Sperimentale)
- Osaka Institute of Technology
- Purdue University
- Queensland University of Technology
- Skyline Drones SRL
- Texas A&M AgriLife
- The Chinese University of Hong Kong
- The University of Manchester
- The University of Queensland
- UNIVERSITY OF SURREY
- Ulster University
- University of California, Los Angeles
- University of Essex;
- University of Guelph
- University of Maryland
- University of Newcastle
- University of North Carolina at Chapel Hill
- University of Texas at Arlington
- University of Texas at Tyler
- University of Virginia
- VTT
- Washington State University
- 54 more »
- « less
-
Field
-
sensors. Printing of the high-value flexible electronic films with insulating, dielectric, semiconducting and conducting materials used in these devices makes a major and rapidly growing contribution to UK
-
mobile robotics, you will manage own academic research and administrative activities, adapt existing and develop new methodologies in robotics, design working algorithms from theories, deploy and test
-
contribute to research and development efforts focused on creating accurate digital twins, improving anomaly detection models, and integrating visual data with spatial sensors like RGBD and LiDAR. This role
-
, and intelligent systems. Key Responsibilities: Design, develop and integrate hardware + software components for humanoid platforms, including and not limited sensors, actuators and control systems
-
the School of Physical Sciences at the Open University. The CEI is a collaboration between the Open University and Teledyne e2v, a world-leading manufacturer of scientific and industrial image sensors. The CEI
-
engineering and proficiency in information technology, with particular emphasis on computer networks, network system security, the Internet of Things, sensor networks, Windows and Linux operating systems, web
-
with the latest sensors (camera and LiDAR sensors), is available for the work. What you will do – development of algorithms for 3D multi-object tracking based on heterogeneous sensor data fusion
-
transmission methods (wired or wireless) will be optimised for robust data capture in natural sleep environments. AI-Driven Analysis: Develop advanced AI algorithms to analyse the collected sensor data, aiming
-
have designed and introduced new control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the
-
with MoniRail Ltd and Durham University. The primary focus will be on designing and implementing deep learning and anomaly detection algorithms to analyse large-scale, real-world sensor data collected