Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Chalmers University of Technology
- Rutgers University
- University College Cork
- Nature Careers
- Florida Gulf Coast University
- Leibniz
- Stony Brook University
- Texas A&M University
- ;
- Auburn University
- East Carolina University
- Helmholtz-Zentrum Geesthacht
- King Abdullah University of Science and Technology
- Linnaeus University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- National Aeronautics and Space Administration (NASA)
- Stanford University
- Swedish University of Agricultural Sciences
- Technical University of Denmark
- University of California
- University of California, Merced
- University of Cambridge
- University of Delaware
- University of Florida
- University of Maine
- University of North Carolina at Chapel Hill
- University of Washington
- 17 more »
- « less
-
Field
-
The position's field of research focuses on developing and implementing safe, transparent, and explainable AI systems using multimodal deep learning and Large Language Models (LLMs) for healthcare
-
/benefits-overview . Posting Summary The Rutgers Center for Advanced Infrastructure and Transportation (CAIT) invite applications for a Postdoctoral Associate position in the area of monitoring and modeling
-
include AI/ML techniques and biophysical modeling. This work aims to address critical challenges faced by federal, state, and local water resource agencies, with applications extending to coastal ecological
-
collaboration with KTH, the Royal Institute of Technology in Stockholm, where experiments and model-scale sea trials will take place. The team has well-established partnerships in wind-assisted propulsion and
-
modeling techniques in the fields of infrastructure engineering, social science, and hydrologic science to improve the resilience and security of urban environments during natural and man-made extreme events
-
linkages between various fisheries and related ecological and social drivers. Climate change focused activities are expected to leverage large climate data sets as well as downscaled climate models
-
healthcare) where deep learning architectures, hierarchical learning models and representation learning can be truly impactful. The group strives to publish in top-tier ML venues such as NeurIPS, ICLR, ICML
-
, coastal and marine systems, nature finance, environmental economics, modeling of ecosystem services/nature’s contributions to people, and linkages of natural capital indicators to design of effective policy
-
physiology (respirometry and ETS analyses), and hydrological/behavioral simulation modeling components, all in a collaborative research effort involving Auburn University personnel and colleagues from State