Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- CNRS
- INESC ID
- Nature Careers
- Inria, the French national research institute for the digital sciences
- University of South Carolina
- ;
- Aix-Marseille Université
- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
- GFZ Helmholtz-Zentrum für Geoforschung
- Georgia Institute of Technology
- IFP Energies nouvelles (IFPEN)
- NEW YORK UNIVERSITY ABU DHABI
- National Aeronautics and Space Administration (NASA)
- Oak Ridge National Laboratory
- Stanford University
- Stony Brook University
- Technical University of Munich
- The Ohio State University
- UNIVERSITY OF HELSINKI
- University of California
- University of Massachusetts
- University of North Carolina at Chapel Hill
- University of Southern Denmark
- University of Sydney
- 14 more »
- « less
-
Field
-
TPMS data, high-speed wheel encoders, CAN data, accelerometer data, and acoustics data. In addition to other cloud-based data for weather-friction estimates and crowdsourced vehicle data for estimating
-
assessing the effects of Low Earth Orbiting satellites on LSST data and resulting systematic errors in dark matter and dark energy posterior cosmological parameter estimates. Skills must include database
-
infrastructure monitoring, as well as connected autonomous vehicles Integrating multi-modal sensor data with physics-based models Developing robust and adaptive methods for real-time parameter and state estimation
-
general predictive modeling methods, including model design, parameter estimation, sensitivity analysis, and model evaluation. An understanding of data acquisition and curation methods for real-world data
-
general predictive modeling methods, including model design, parameter estimation, sensitivity analysis, and model evaluation. An understanding of data acquisition and curation methods for real-world data
-
negotiable, preferably in autumn 2025 or in 2026. Background Northern wetlands emit large amounts of methane (CH4), a potent greenhouse gas. There are high uncertainties in the estimation of wetland CH4
-
dynamics in the southwest Cordillera. ● Integrate geophysical and geochemical information (e.g., seismic, thermal, and compositional models) to constrain crustal rheology and structural parameters
-
Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection
-
and web interfaces for PK/PD model parameter estimation and simulation in popPK/PD, PBPK-PD, and/or QSP approach; model-informed precision dosing and sampling optimization in pharmacometrics approach
-
model APIs, cloud computing environments, and R for additional statistical analysis. For decision support prototype development and evaluation, web-based user interface design, human-computer interaction