Sort by
Refine Your Search
-
: 271047457 Position: Postdoctoral Research Associate (Construction Robotics) Description: Overview Adel Research Group (ARG) at Princeton University invites applicants for full-time Postdoctoral Research
-
Details Posted: 14-Mar-25 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number: 265491152 Position: Postdoctoral Research Associate (Construction
-
opportunity to engage in cutting-edge interdisciplinary research focused on Construction Robotics, working under the guidance of Dr. Arash Adel, Assistant Professor in the School of Architecture and Associated
-
Postdoctoral Research Associate - Improving Sea Ice and Coupled Climate Models with Machine Learning
increments, which represent structural model errors (https://doi.org/10.1029/2023MS003757). When applied online to global ice-ocean simulations, this neural network substantially improves sea ice simulation
-
positions. Dr. Wei Peng's group (www.weipengenergy.com) focuses on modeling institutional and human dimensions of energy transition to identify realistic and robust decarbonization strategies and provide
-
) positions to join our team. These full-time positions offer a unique opportunity to engage in cutting-edge interdisciplinary research focused on Generative AI within the context of construction robotics
-
advance the use of mathematical and statistical models of infectious disease transmission as tools for anticipating and addressing socioeconomic and geographic inequalities in infectious disease morbidity
-
position to advance the understanding of liquid metal plasma-facing materials and first wall concepts for fusion energy devices through surface science experiments. Studies under the controlled conditions of
-
of researchers Preferred Qualifications: *Experience with macroeconomic or structural modeling. Specific experience with CGE models and the use of GTAP a plus. *ArcGIS software or equivalent Requirements
-
, combines advanced system neuroscience and computational modeling techniques to study planning in rodents engaged in dynamic spatial foraging tasks. The successful candidate will develop computational models