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
-
work will be organized around the following areas: 1. Bee detection and tracking: Development of computer vision algorithms to identify and track each bee from high-resolution images, while
-
recent years, we have created ground-breaking innovations such as the world's fastest and most accurate radiation detector, a cancer-sniffing sensor device for smartphones, and a headphone set entirely
-
, but also in traffic monitoring or in the media context, for example when it comes to automatic metadata extraction and audio manipulation detection. Another focus is the development of algorithms
-
, but also in traffic monitoring or in the media context, for example when it comes to automatic metadata extraction and audio manipulation detection. Another focus is the development of algorithms
-
(HPC) best practices, advanced mathematical research into novel algorithms, and the utilization of machine learning techniques for code acceleration and the development of reduced-order "surrogate
-
and prepares a UAV flight & operation manual; Implements, documents, and field-tests in pilot farms the solutions of the software platform and the AI algorithms for processing high-resolution images
-
software applications for sonar and underwater acoustics including algorithm design, implementation, verification, and performance analysis in the Advanced Technology Laboratory (ATL). Responsibilities
-
Requisition Id 15000 Overview: We are seeking an Associate R&D Staff member who will focus on algorithmic tools for process monitoring, diagnosis, and control. This position resides in the Sensors
-
expertise in analysing and interpreting satellite remote sensing data from Synthetic Aperture Radar (SAR) and multi/hyper-spectral sensors for measuring ground deformation, mapping surface changes due
-
DC-DC converters, AC motor drives, and control algorithms Sensors such as MEMs accelerometers, piezoelectric sensing, MEMs microphones, etc. Your working location can be hybrid on-site/work from home