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
-
and simple embedding alignment to develop architectures that can process and reason across modalities (vision, language, audio, sensor data) from the ground up. How do we build a truly unified
-
and interoperability, and efficient processing and management of time-series datasets and metadata originating from IoT sources (such as environment sensors and meters) closer to the data provider
-
. clinical data, imaging data, genomic and omics data, device and sensor data) mentioned. ● Experience with multi-omics data analysis (e.g., genomics, transcriptomics, proteomics). ● Familiarity with
-
development on undersea sensor systems employed on Naval Special Warfare platforms. Responsibilities Communicate and collaborate with team members to design and develop new software features and maintain
-
a breakthrough concept to upgrade existing fiber optic networks to acoustic sensor arrays, becoming a key component for managing smart cities. Except for a few applications, DAS data are typically
-
algorithms for dynamic structured data, with a particular focus on time sequences of graphs, graph signals, and time sequences on groups and manifolds. Special emphasis will be placed on non-parametric
-
industrial automation, machine learning, mobile robotics, process control, sensor processing, machine vision, and/or human machine interaction. This position will require working with external partners
-
collaboration between the OU and Teledyne e2v (T-e2v), a world-leading manufacturer of scientific and industrial image sensors. The CEI is dedicated to conducting research into advanced imaging technologies
-
languages; writing and testing logic in hardware description languages; developing and testing signal processing algorithms from concept to implementation; and performing systems integration and testing
-
and testing software in high level languages; writing and testing logic in hardware description languages; developing and testing signal processing algorithms from concept to implementation; and