Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Oak Ridge National Laboratory
- Cornell University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Delft University of Technology (TU Delft)
- National Aeronautics and Space Administration (NASA)
- Stony Brook University
- Technical University of Munich
- University of Twente
- Aalborg University
- SUNY Polytechnic Institute
- Texas A&M University
- Aix-Marseille Université
- Autonomous University of Madrid (Universidad Autónoma de Madrid)
- Baylor College of Medicine
- CNRS
- George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș
- Istituto Italiano di Tecnologia
- King's College London
- McGill University
- Stanford University
- The University of North Carolina at Chapel Hill
- Télécom Paris
- Umeå University
- Umeå universitet
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- University of Nevada, Reno
- University of Oxford
- University of Southern Denmark
- University of Twente (UT)
- Virginia Tech
- 20 more »
- « less
-
Field
-
Experience: In the development of medical devices in vision sciences. Implementation of psychophysical algorithms for vision. Design and analysis of clinical studies. Experience in functions similar to those
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description AI-enabled polymer monitoring via multi-sensor intelligent non
-
and automated fault detection and diagnosis (AFDD) algorithms to buildings Deliver ORNL’s mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork
-
. Working with geospatial and mobility datasets (GPS trajectories, transit feeds, sensor data, demographic/socioeconomic data) Co-designing tools and analyses with municipal and MPO clients, including
-
/socioeconomic data, sensor data) Contributing to translational research that tightens the loop between engineering innovation and clinical practice Disseminating findings through high-impact journals, conferences
-
-dimensional datasets (EHR, claims, environmental/socioeconomic data, sensor data) • Contributing to translational research that tightens the loop between engineering innovation and clinical practice
-
platforms such as Cornell TEAM-Cities, CATChain, uTECH, etc. • Working with geospatial and mobility datasets (GPS trajectories, transit feeds, sensor data, demographic/socioeconomic data) • Co-designing tools
-
Requisition Id 15490 Overview: The Multimodal Sensor Analytics group in the Electrification and Energy Infrastructure Division (EEID) is seeking a postdoctoral researcher with proven expertise in
-
want to understand the fundamental principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with several national and international
-
principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with several national and international research groups, edits one of the major